Alterações

              
    

          
          
        
        

            
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{
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{
            
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  "SDGs": [],
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  "SDGs": [],
            
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  "author": null,
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  "author": null,
            
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  "author_email": null,
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  "author_email": null,
            
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  "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442",
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  "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442",
            
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  "extras": [
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  "extras": [
            
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    {
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    {
            
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      "key": "fields",
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      "key": "fields",
            
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      "value": "id, year, state_name, state_code, district_name, 
9
      "value": "id, year, state_name, state_code, district_name, 
            
10
district_code, registration_circles, murder, infancticide, rape, 
10
district_code, registration_circles, murder, infancticide, rape, 
            
11
assault_on_women, insult_the_modesty_of_women, 
11
assault_on_women, insult_the_modesty_of_women, 
            
12
kidnapping_and_abduction, foeticide, abetment_of_suicide_of_child, 
12
kidnapping_and_abduction, foeticide, abetment_of_suicide_of_child, 
            
13
exposure_and_abandonment, procuration_of_minor_girls, 
13
exposure_and_abandonment, procuration_of_minor_girls, 
            
14
importation_of_girls_from_foreign_country, buying_of_minors_for_prstn, 
14
importation_of_girls_from_foreign_country, buying_of_minors_for_prstn, 
            
15
selling_of_minors_for_prstn, prohibition_of_child_marriage, 
15
selling_of_minors_for_prstn, prohibition_of_child_marriage, 
            
16
transplantation_of_human_organs, 
16
transplantation_of_human_organs, 
            
17
child_labour_prohibition_and_regulation, immoral_traffic_prevention, 
17
child_labour_prohibition_and_regulation, immoral_traffic_prevention, 
            
18
justice_care_and_protection_of_children, 
18
justice_care_and_protection_of_children, 
            
19
protection_of_children_from_sexual_offences, attempt_to_commit_murder, 
19
protection_of_children_from_sexual_offences, attempt_to_commit_murder, 
            
20
unnatural_offences, human_trafficking, 
20
unnatural_offences, human_trafficking, 
            
21
other_crimes_committed_against_children, id, year, state_name, 
21
other_crimes_committed_against_children, id, year, state_name, 
            
22
state_code, district_name, district_code, registration_circles, 
22
state_code, district_name, district_code, registration_circles, 
            
23
murder_with_rape, other_murder, abetment_of_suicide_of_child, 
23
murder_with_rape, other_murder, abetment_of_suicide_of_child, 
            
24
attempt_to_commit_murder, infanticide, foeticide, 
24
attempt_to_commit_murder, infanticide, foeticide, 
            
25
exposure_and_abandonment, simple_hurt, grievous_hurt, 
25
exposure_and_abandonment, simple_hurt, grievous_hurt, 
            
26
missing_child_deemed_as_kidnapped, other_kidnapping_abduction_sec_363, 
26
missing_child_deemed_as_kidnapped, other_kidnapping_abduction_sec_363, 
            
27
kidnp_and_abduction_for_the_purpose_of_begging, 
27
kidnp_and_abduction_for_the_purpose_of_begging, 
            
28
kidnp_and_abduction_in_order_to_murder, kidnp_for_ransom, 
28
kidnp_and_abduction_in_order_to_murder, kidnp_for_ransom, 
            
29
kidnp_and_abduction_of_minor_girls_for_mrrg, 
29
kidnp_and_abduction_of_minor_girls_for_mrrg, 
            
30
procuration_of_minor_girls, importation_of_girls_from_foreign_country, 
30
procuration_of_minor_girls, importation_of_girls_from_foreign_country, 
            
31
other_kidnapping_abduction, human_trafficking_children_only, 
31
other_kidnapping_abduction, human_trafficking_children_only, 
            
32
selling_of_minors_for_pros_boys, selling_of_minors_for_pros_girls, 
32
selling_of_minors_for_pros_boys, selling_of_minors_for_pros_girls, 
            
33
buying_of_minors_for_pros_boys, buying_of_minors_for_pros_girls, rape, 
33
buying_of_minors_for_pros_boys, buying_of_minors_for_pros_girls, rape, 
            
34
attempt_to_commit_rape, 
34
attempt_to_commit_rape, 
            
35
assault_on_women_with_intent_to_outrage_her_modesty, 
35
assault_on_women_with_intent_to_outrage_her_modesty, 
            
36
insult_to_the_modesty_of_women, other_ipc_crimes, 
36
insult_to_the_modesty_of_women, other_ipc_crimes, 
            
37
section_4_and_6_of_pocso_act_girls, section_4_and_6_of_pocso_act_boys, 
37
section_4_and_6_of_pocso_act_girls, section_4_and_6_of_pocso_act_boys, 
            
38
section_8_and_10_of_pocso_act_girls, 
38
section_8_and_10_of_pocso_act_girls, 
            
39
section_8_and_10_of_pocso_act_boys, section_12_of_pocso_act_girls, 
39
section_8_and_10_of_pocso_act_boys, section_12_of_pocso_act_girls, 
            
40
section_12_of_pocso_act_boys, section_14_and_15_of_pocso_girls, 
40
section_12_of_pocso_act_boys, section_14_and_15_of_pocso_girls, 
            
41
section_14_and_15_of_pocso_boys, pocso_act_section_377_girls, 
41
section_14_and_15_of_pocso_boys, pocso_act_section_377_girls, 
            
42
pocso_act_section_377_boys, sections_17_to_22_of_pocso_act_girls, 
42
pocso_act_section_377_boys, sections_17_to_22_of_pocso_act_girls, 
            
43
sections_17_to_22_of_pocso_act_boys, offences_by_care_takers, 
43
sections_17_to_22_of_pocso_act_boys, offences_by_care_takers, 
            
44
other_offences_of_juveniles, 
44
other_offences_of_juveniles, 
            
45
procuring_inducing_children_for_the_sake_of_prostitution, 
45
procuring_inducing_children_for_the_sake_of_prostitution, 
            
46
detaining_a_person_where_prostitution_on, other_immoral_traffic, 
46
detaining_a_person_where_prostitution_on, other_immoral_traffic, 
            
47
child_labour, prohibition_of_child_marriage, 
47
child_labour, prohibition_of_child_marriage, 
            
48
transplantation_of_human_organs, 
48
transplantation_of_human_organs, 
            
49
pub_or_trans_of_material_depicting_child_in_sexul_explicit, 
49
pub_or_trans_of_material_depicting_child_in_sexul_explicit, 
            
50
other_cyber_crimes_against_children, other_sll_crimes, id, year, 
50
other_cyber_crimes_against_children, other_sll_crimes, id, year, 
            
51
state_name, state_code, district_name, district_code, 
51
state_name, state_code, district_name, district_code, 
            
52
registration_circles, protection_of_civil_rights_act, murder, 
52
registration_circles, protection_of_civil_rights_act, murder, 
            
53
attempt_to_commit_murder, rape, attempt_to_commit_rape, 
53
attempt_to_commit_murder, rape, attempt_to_commit_rape, 
            
54
assault_on_women, insult_to_the_modesty_of_women, 
54
assault_on_women, insult_to_the_modesty_of_women, 
            
55
kidnapping_and_abduction, dacoity, robbery, arson, grievous_hurt, 
55
kidnapping_and_abduction, dacoity, robbery, arson, grievous_hurt, 
            
56
riots, other_ipc_crimes, sc_st_prevention_of_atrocities, id, year, 
56
riots, other_ipc_crimes, sc_st_prevention_of_atrocities, id, year, 
            
57
state_name, state_code, district_name, district_code, 
57
state_name, state_code, district_name, district_code, 
            
58
registration_circles, murder, attempt_to_commit_murder, simple_hurt, 
58
registration_circles, murder, attempt_to_commit_murder, simple_hurt, 
            
59
grievous_hurt, acid_attack, attempt_to_acid_attack, 
59
grievous_hurt, acid_attack, attempt_to_acid_attack, 
            
60
other_grievous_hurt, assault_on_adult_women, sexual_harassment, 
60
other_grievous_hurt, assault_on_adult_women, sexual_harassment, 
            
61
assault_criminal_force_on_women_with_intent_to_disrobe, voyeurism, 
61
assault_criminal_force_on_women_with_intent_to_disrobe, voyeurism, 
            
62
stalking, assault_of_children_pocso, insult_to_the_modesty_of_women, 
62
stalking, assault_of_children_pocso, insult_to_the_modesty_of_women, 
            
63
missing_children_deemed_as_kidnapped, other_kidnapping_abduction, 
63
missing_children_deemed_as_kidnapped, other_kidnapping_abduction, 
            
64
kidnapping_and_abduction_for_the_purpose_of_begging, 
64
kidnapping_and_abduction_for_the_purpose_of_begging, 
            
65
kidnapping_and_abduction_in_order_to_murder, kidnapping_for_ransom, 
65
kidnapping_and_abduction_in_order_to_murder, kidnapping_for_ransom, 
            
66
kidnapping_and_abduction_of_women_for_marriage, 
66
kidnapping_and_abduction_of_women_for_marriage, 
            
67
procuration_of_minor_girls, other_kidnapping_abducion, rape_of_women, 
67
procuration_of_minor_girls, other_kidnapping_abducion, rape_of_women, 
            
68
rape_of_children, attempt_to_commit_rape, rioting, robbery, 
68
rape_of_children, attempt_to_commit_rape, rioting, robbery, 
            
69
dacoity_with_murder, dacoity, arson, criminal_intimidation, 
69
dacoity_with_murder, dacoity, arson, criminal_intimidation, 
            
70
other_ipc_crimes, 
70
other_ipc_crimes, 
            
71
intentionally_insult_or_intimidate_with_intent_to_humiliate, 
71
intentionally_insult_or_intimidate_with_intent_to_humiliate, 
            
72
occupy_disposes_land_belongs_to_sts, 
72
occupy_disposes_land_belongs_to_sts, 
            
73
prevent_or_deny_or_obstruct_usage_of_public_place_passage, 
73
prevent_or_deny_or_obstruct_usage_of_public_place_passage, 
            
74
force_to_leave_place_of_residence_social_boycott, other_offences, 
74
force_to_leave_place_of_residence_social_boycott, other_offences, 
            
75
protection_of_civil_rights, id, year, state_name, state_code, 
75
protection_of_civil_rights, id, year, state_name, state_code, 
            
76
district_name, district_code, registration_circles, 
76
district_name, district_code, registration_circles, 
            
77
protection_of_civil_rights, murder, attempt_to_commit_murder, rape, 
77
protection_of_civil_rights, murder, attempt_to_commit_murder, rape, 
            
78
attempt_to_commit_rape_rape, assault_on_women, insult_to_the_modesty, 
78
attempt_to_commit_rape_rape, assault_on_women, insult_to_the_modesty, 
            
79
kidnapping_and_abduction, dacoity, robbery, arson, grievous_hurt, 
79
kidnapping_and_abduction, dacoity, robbery, arson, grievous_hurt, 
            
80
riots, other_ipc_crimes_crimes, sc_st_prevention_of_atrocities, id, 
80
riots, other_ipc_crimes_crimes, sc_st_prevention_of_atrocities, id, 
            
81
year, state_name, state_code, district_name, district_code, 
81
year, state_name, state_code, district_name, district_code, 
            
82
registration_circles, murder, attempt_to_commit_murder, simple_hurt, 
82
registration_circles, murder, attempt_to_commit_murder, simple_hurt, 
            
83
grievous_hurt, acid_attack, attempt_to_acid_attack, 
83
grievous_hurt, acid_attack, attempt_to_acid_attack, 
            
84
other_grievous_hurt, assault_on_adult_women, sexual_harassment, 
84
other_grievous_hurt, assault_on_adult_women, sexual_harassment, 
            
85
assault_or_of_criminal_force_women_intent_to_disrobe, voyeurism, 
85
assault_or_of_criminal_force_women_intent_to_disrobe, voyeurism, 
            
86
stalking, assault_of_children, insult_to_the_modesty_of_women, 
86
stalking, assault_of_children, insult_to_the_modesty_of_women, 
            
87
missing_children_deemed_as_kidnapped, other_kidnapping_abduction, 
87
missing_children_deemed_as_kidnapped, other_kidnapping_abduction, 
            
88
kidnp_and_abduction_for_the_purpose_of_begging, 
88
kidnp_and_abduction_for_the_purpose_of_begging, 
            
89
kidnp_and_abduction_in_order_to_murder, kidnp_for_ransom, 
89
kidnp_and_abduction_in_order_to_murder, kidnp_for_ransom, 
            
90
kidnp_and_abduction_womn_for_marriage, procuration_of_minor_girls, 
90
kidnp_and_abduction_womn_for_marriage, procuration_of_minor_girls, 
            
91
other_kidnapping_and_abducion, rape_of_women_above_18_yrs, 
91
other_kidnapping_and_abducion, rape_of_women_above_18_yrs, 
            
92
rape_of_children_below_18_yrs, attempt_to_commit_rape, rioting, 
92
rape_of_children_below_18_yrs, attempt_to_commit_rape, rioting, 
            
93
robbery, dacoity_with_murder, dacoity, arson, criminal_intimidation, 
93
robbery, dacoity_with_murder, dacoity, arson, criminal_intimidation, 
            
94
other_ipc_crimes, 
94
other_ipc_crimes, 
            
95
intentionally_insult_or_intimidate_with_intent_to_humiliate, 
95
intentionally_insult_or_intimidate_with_intent_to_humiliate, 
            
96
occupy_disposes_land_belongs_to_scs, 
96
occupy_disposes_land_belongs_to_scs, 
            
97
prevent_or_deny_or_obstruct_usage_of_public_place_passage, 
97
prevent_or_deny_or_obstruct_usage_of_public_place_passage, 
            
98
force_to_leave_place_of_residence_social_boycott, other_offences, 
98
force_to_leave_place_of_residence_social_boycott, other_offences, 
            
99
protection_of_civil_rights, id, year, state_name, state_code, 
99
protection_of_civil_rights, id, year, state_name, state_code, 
            
100
district_name, district_code, registration_circles, rape, 
100
district_name, district_code, registration_circles, rape, 
            
101
attempt_to_commit_rape, kidnapping_and_abduction, dowry_deaths, 
101
attempt_to_commit_rape, kidnapping_and_abduction, dowry_deaths, 
            
102
assault_on_women, insult_to_the_modesty_of_women, 
102
assault_on_women, insult_to_the_modesty_of_women, 
            
103
cruelty_by_husband_relatives, importation_of_girls_from_foreign, 
103
cruelty_by_husband_relatives, importation_of_girls_from_foreign, 
            
104
abetment_of_suicides_of_women, dowry_prohibition, 
104
abetment_of_suicides_of_women, dowry_prohibition, 
            
105
indecent_representation_of_women, 
105
indecent_representation_of_women, 
            
106
protection_of_women_from_domestic_violence, 
106
protection_of_women_from_domestic_violence, 
            
107
immoral_traffic_prevention, acid_attack, attempt_to_acid_attack, 
107
immoral_traffic_prevention, acid_attack, attempt_to_acid_attack, 
            
108
deaths_caused_with_intent_to_cause_miscarriage, 
108
deaths_caused_with_intent_to_cause_miscarriage, 
            
109
causing_miscarriage_without_consent_of_women, human_trafficking, 
109
causing_miscarriage_without_consent_of_women, human_trafficking, 
            
110
un_natural_offences, id, year, state_name, state_code, district_name, 
110
un_natural_offences, id, year, state_name, state_code, district_name, 
            
111
district_code, registration_circles, murder_with_rape_gang_rape, 
111
district_code, registration_circles, murder_with_rape_gang_rape, 
            
112
dowry_deaths, abetment_to_suicide_of_women, miscarriage, acid_attack, 
112
dowry_deaths, abetment_to_suicide_of_women, miscarriage, acid_attack, 
            
113
attempt_to_acid_attack, cruelty_by_husband_or_his_relatives, 
113
attempt_to_acid_attack, cruelty_by_husband_or_his_relatives, 
            
114
kidnapping_and_abduction, kidnapping_abduction_in_order_to_murder, 
114
kidnapping_and_abduction, kidnapping_abduction_in_order_to_murder, 
            
115
kidnapping_for_ransom, kidnp_and_abductn_of_women_above_18_for_marrg, 
115
kidnapping_for_ransom, kidnp_and_abductn_of_women_above_18_for_marrg, 
            
116
kidnp_and_abductn_of_girls_below_18_for_marrg, 
116
kidnp_and_abductn_of_girls_below_18_for_marrg, 
            
117
procuration_of_minor_girls, importation_of_girls_from_foreign, 
117
procuration_of_minor_girls, importation_of_girls_from_foreign, 
            
118
kidnapping_and_abduction_of_women_others, human_trafficking, 
118
kidnapping_and_abduction_of_women_others, human_trafficking, 
            
119
selling_of_minor_girls, buying_of_minor_girls, rape_women_above_18, 
119
selling_of_minor_girls, buying_of_minor_girls, rape_women_above_18, 
            
120
rape_girls_below_18, attempt_to_commit_rape_above_18, 
120
rape_girls_below_18, attempt_to_commit_rape_above_18, 
            
121
attempt_to_commit_rape_girls_below_18, assault_on_womenabove_18, 
121
attempt_to_commit_rape_girls_below_18, assault_on_womenabove_18, 
            
122
assault_on_women_below_18, insult_to_the_modesty_of_women_above_18, 
122
assault_on_women_below_18, insult_to_the_modesty_of_women_above_18, 
            
123
insult_to_the_modesty_of_women_below_18, dowry_prohibition, 
123
insult_to_the_modesty_of_women_below_18, dowry_prohibition, 
            
124
procuring_inducing_children_for_the_sake_of_prostitution, 
124
procuring_inducing_children_for_the_sake_of_prostitution, 
            
125
detaining_a_prsn_in_premises_where_prost_is_carried, 
125
detaining_a_prsn_in_premises_where_prost_is_carried, 
            
126
prostitution_in_or_in_the_vicinity_of_public_places, 
126
prostitution_in_or_in_the_vicinity_of_public_places, 
            
127
seducing_or_soliciting_for_purpose_of_prostitution, 
127
seducing_or_soliciting_for_purpose_of_prostitution, 
            
128
other_sections_under_itp_act, 
128
other_sections_under_itp_act, 
            
129
protection_of_women_from_domestic_violence, 
129
protection_of_women_from_domestic_violence, 
            
130
publshng_or_transmitting_of_sexually_explicit_mtrl, 
130
publshng_or_transmitting_of_sexually_explicit_mtrl, 
            
131
other_women_centric_cyber_crimes, child_rape, 
131
other_women_centric_cyber_crimes, child_rape, 
            
132
sexual_assault_of_children, child_sexual_harassment, 
132
sexual_assault_of_children, child_sexual_harassment, 
            
133
use_of_child_for_pornography, offences_of_pocso_act, 
133
use_of_child_for_pornography, offences_of_pocso_act, 
            
134
pocso_act_unnatural_offences, indecent_representation_of_women, id, 
134
pocso_act_unnatural_offences, indecent_representation_of_women, id, 
            
135
year, state_name, state_code, district_name, district_code, 
135
year, state_name, state_code, district_name, district_code, 
            
136
registration_circles, tampering_computer_source_documents, 
136
registration_circles, tampering_computer_source_documents, 
            
137
ransom_ware, offences_other_than_ransom_ware, 
137
ransom_ware, offences_other_than_ransom_ware, 
            
138
dishonestly_recv_stolen_cmp_resrc_or_comm_device, identity_theft, 
138
dishonestly_recv_stolen_cmp_resrc_or_comm_device, identity_theft, 
            
139
cheating_by_personation_by_using_computer_resource, 
139
cheating_by_personation_by_using_computer_resource, 
            
140
violation_of_privacy, cyber_terrorism, 
140
violation_of_privacy, cyber_terrorism, 
            
141
pub_or_trans_obscene_material_in_electronic_form, 
141
pub_or_trans_obscene_material_in_electronic_form, 
            
142
pub_or_trans_of_mtrl_cont_sxly_explct_act_in_elect_form, 
142
pub_or_trans_of_mtrl_cont_sxly_explct_act_in_elect_form, 
            
143
pub_or_trans_matrl_dpctng_chldrn_sxly_explct_elect_form, 
143
pub_or_trans_matrl_dpctng_chldrn_sxly_explct_elect_form, 
            
144
presrv_and_retention_of_info_by_intermediaries, other_sections_it_act, 
144
presrv_and_retention_of_info_by_intermediaries, other_sections_it_act, 
            
145
interception_or_monitoring_or_decryption_of_info, 
145
interception_or_monitoring_or_decryption_of_info, 
            
146
un_athryz_access_atmpt_access_prct_comp_sys, 
146
un_athryz_access_atmpt_access_prct_comp_sys, 
            
147
abetment_to_commit_offences, attempt_to_commit_offences, 
147
abetment_to_commit_offences, attempt_to_commit_offences, 
            
148
other_sections_of_it_act, abetment_of_suicide_online, 
148
other_sections_of_it_act, abetment_of_suicide_online, 
            
149
cyber_stalking_bullying_of_women_children, data_theft, 
149
cyber_stalking_bullying_of_women_children, data_theft, 
            
150
credit_card_debit_card_fraud, atms_fraud, online_banking_fraud, 
150
credit_card_debit_card_fraud, atms_fraud, online_banking_fraud, 
            
151
otp_frauds, other_frauds, cheating, forgery, defamation_morphing, 
151
otp_frauds, other_frauds, cheating, forgery, defamation_morphing, 
            
152
fake_profile, currency_counterfeiting, stamps_counterfeiting, 
152
fake_profile, currency_counterfeiting, stamps_counterfeiting, 
            
153
cyber_blackmailing_threatening, fake_news_on_social_media, 
153
cyber_blackmailing_threatening, fake_news_on_social_media, 
            
154
other_offences, total_offences_under_ip, gambling_act, lotteries_act, 
154
other_offences, total_offences_under_ip, gambling_act, lotteries_act, 
            
155
copy_right_act, trade_marks_act, other_sll_crimes, id, year, 
155
copy_right_act, trade_marks_act, other_sll_crimes, id, year, 
            
156
state_name, state_code, district_name, district_code, 
156
state_name, state_code, district_name, district_code, 
            
157
registration_circles, murder, attempt_to_commit_murder, 
157
registration_circles, murder, attempt_to_commit_murder, 
            
158
culpable_homicide_not_amounting_to_murder, 
158
culpable_homicide_not_amounting_to_murder, 
            
159
attempt_to_commit_culpable_homicide, rape, attempt_to_commit_rape, 
159
attempt_to_commit_culpable_homicide, rape, attempt_to_commit_rape, 
            
160
kidnapping_and_abduction, dacoity, 
160
kidnapping_and_abduction, dacoity, 
            
161
mkng_preparation_and_assembly_for_comm_dacoity, robbery, 
161
mkng_preparation_and_assembly_for_comm_dacoity, robbery, 
            
162
criminal_trespass_or_burglary, theft, unlawful_assembly, riots, 
162
criminal_trespass_or_burglary, theft, unlawful_assembly, riots, 
            
163
criminal_breach_of_trust, cheating, forgery, counterfeiting, arson, 
163
criminal_breach_of_trust, cheating, forgery, counterfeiting, arson, 
            
164
grievous_hurt, dowry_deaths, assault_on_women, 
164
grievous_hurt, dowry_deaths, assault_on_women, 
            
165
insult_to_the_modesty_of_women, cruelty_by_husband_or_his_relatives, 
165
insult_to_the_modesty_of_women, cruelty_by_husband_or_his_relatives, 
            
166
importation_of_girls_from_foreign_country, 
166
importation_of_girls_from_foreign_country, 
            
167
causing_death_by_negligence, offences_against_state, 
167
causing_death_by_negligence, offences_against_state, 
            
168
offences_promoting_enmity_between_diff_grp, extortion, 
168
offences_promoting_enmity_between_diff_grp, extortion, 
            
169
disclosure_of_identity_of_victims, incidence_of_rash_driving, 
169
disclosure_of_identity_of_victims, incidence_of_rash_driving, 
            
170
human_trafficking, unnatural_offence, other_ipc_crimes, id, year, 
170
human_trafficking, unnatural_offence, other_ipc_crimes, id, year, 
            
171
state_name, state_code, district_name, district_code, 
171
state_name, state_code, district_name, district_code, 
            
172
registration_circles, male_below_5_years, male_5_to_14_years, 
172
registration_circles, male_below_5_years, male_5_to_14_years, 
            
173
male_14_to_18_years, male_18_to_30_years, male_30_to_45_years, 
173
male_14_to_18_years, male_18_to_30_years, male_30_to_45_years, 
            
174
male_45_to_60_years, male_60_years_and_above, female_below_5_years, 
174
male_45_to_60_years, male_60_years_and_above, female_below_5_years, 
            
175
female_5_to_14_years, female_14_to_18_years, female_18_to_30_years, 
175
female_5_to_14_years, female_14_to_18_years, female_18_to_30_years, 
            
176
female_30_to_45_years, female_45_to_60_years, 
176
female_30_to_45_years, female_45_to_60_years, 
            
177
female_60_years_and_above, trangender_below_5_years, 
177
female_60_years_and_above, trangender_below_5_years, 
            
178
trangender_5_to_14_years, trangender_14_to_18_years, 
178
trangender_5_to_14_years, trangender_14_to_18_years, 
            
179
trangender_18_to_30_years, trangender_30_to_45_years, 
179
trangender_18_to_30_years, trangender_30_to_45_years, 
            
180
trangender_45_to_60_years, transgender_60_years_and_above, id, year, 
180
trangender_45_to_60_years, transgender_60_years_and_above, id, year, 
            
181
state_name, state_code, district_name, district_code, 
181
state_name, state_code, district_name, district_code, 
            
182
registration_circles, male_below_12_years, male_12_years_to_16_years, 
182
registration_circles, male_below_12_years, male_12_years_to_16_years, 
            
183
male_16_years_to_18_years, male_children, male_18_years_and_above, 
183
male_16_years_to_18_years, male_children, male_18_years_and_above, 
            
184
female_below_12_years, female_12_years_to_16_years, 
184
female_below_12_years, female_12_years_to_16_years, 
            
185
female_16_years_to_18_years, female_children, 
185
female_16_years_to_18_years, female_children, 
            
186
female_18_years_and_above, transgender_below_12_years, 
186
female_18_years_and_above, transgender_below_12_years, 
            
187
transgender_12_years_to_16_years, transgender_16_years_to_18_years, 
187
transgender_12_years_to_16_years, transgender_16_years_to_18_years, 
            
188
transgender_children, transgender_18_years_and_above, id, year, 
188
transgender_children, transgender_18_years_and_above, id, year, 
            
189
state_name, state_code, district_name, district_code, 
189
state_name, state_code, district_name, district_code, 
            
190
registration_circles, murder, 
190
registration_circles, murder, 
            
191
culpable_homicide_not_amounting_to_murder, hit_and_run, 
191
culpable_homicide_not_amounting_to_murder, hit_and_run, 
            
192
other_accidents, death_due_to_neglnc_relating_to_rail_acdnt, 
192
other_accidents, death_due_to_neglnc_relating_to_rail_acdnt, 
            
193
death_due_to_med_neglnc, death_due_to_neglnc_of_civic_body, 
193
death_due_to_med_neglnc, death_due_to_neglnc_of_civic_body, 
            
194
death_due_to_other_negligence, dowry_death, abetment_of_suicide, 
194
death_due_to_other_negligence, dowry_death, abetment_of_suicide, 
            
195
attempt_to_commit_muder, attempt_to_commit_culpable_homicie, 
195
attempt_to_commit_muder, attempt_to_commit_culpable_homicie, 
            
196
attempt_to_commit_suicide, 
196
attempt_to_commit_suicide, 
            
197
miscarriage_infanticide_foeticide_and_abandonment, 
197
miscarriage_infanticide_foeticide_and_abandonment, 
            
198
voluntarily_causing_simple_hurt, 
198
voluntarily_causing_simple_hurt, 
            
199
volutarily_hurt_by_dangerous_weapons_or_means, 
199
volutarily_hurt_by_dangerous_weapons_or_means, 
            
200
vlntry_cusng_hrt_force_deter_pblic_srvnt_on_duty, 
200
vlntry_cusng_hrt_force_deter_pblic_srvnt_on_duty, 
            
201
cusng_hrt_by_act_endngrng_lyf_sfty_of_others, other_simple_hurt, 
201
cusng_hrt_by_act_endngrng_lyf_sfty_of_others, other_simple_hurt, 
            
202
vlntry_cusng_grvus_hrt_dangerous_wepon_or_mean, acid_attack, 
202
vlntry_cusng_grvus_hrt_dangerous_wepon_or_mean, acid_attack, 
            
203
attempt_to_acid_attack, 
203
attempt_to_acid_attack, 
            
204
vlntrly_csng_gvus_hrt_force_deter_pblc_servnt_on_duty, 
204
vlntrly_csng_gvus_hrt_force_deter_pblc_servnt_on_duty, 
            
205
causing_grvus_hrt_by_act_endangering_life_safety, other_grievous_hurt, 
205
causing_grvus_hrt_by_act_endangering_life_safety, other_grievous_hurt, 
            
206
wrongful_restraint_confinement, assault_on_women, 
206
wrongful_restraint_confinement, assault_on_women, 
            
207
sexual_harassment_at_work, 
207
sexual_harassment_at_work, 
            
208
sexual_harassment_in_public_transport_system, 
208
sexual_harassment_in_public_transport_system, 
            
209
sexul_hrsmt_in_shelter_homes_for_women_and_children, 
209
sexul_hrsmt_in_shelter_homes_for_women_and_children, 
            
210
sexual_harassment_at_other_places, 
210
sexual_harassment_at_other_places, 
            
211
assault_criminal_force_women_intent_disrobe, voyeurism, stalking, 
211
assault_criminal_force_women_intent_disrobe, voyeurism, stalking, 
            
212
missing_children_deemed_as_kidnapped, other_kidnapping_and_abduction, 
212
missing_children_deemed_as_kidnapped, other_kidnapping_and_abduction, 
            
213
kidnapping_and_abduction_for_the_purpose_of_begging, 
213
kidnapping_and_abduction_for_the_purpose_of_begging, 
            
214
kidnapping_and_abduction_in_order_to_murder, kidnapping_foe_ransom, 
214
kidnapping_and_abduction_in_order_to_murder, kidnapping_foe_ransom, 
            
215
kdnppig_nd_abdctn_of_wmn_compel_for_marriage, 
215
kdnppig_nd_abdctn_of_wmn_compel_for_marriage, 
            
216
procuration_of_minor_girls, importation_of_girls_form_foreign_country, 
216
procuration_of_minor_girls, importation_of_girls_form_foreign_country, 
            
217
other_kidnapping_and_abduction_, human_trafficking, 
217
other_kidnapping_and_abduction_, human_trafficking, 
            
218
exploitation_of_trafficked_person, selling_of_minors_for_prostitution, 
218
exploitation_of_trafficked_person, selling_of_minors_for_prostitution, 
            
219
buying_of_minors_for_prostitution, rape, attempt_to_commit_rape, 
219
buying_of_minors_for_prostitution, rape, attempt_to_commit_rape, 
            
220
unnatural_offences, offences_affecting_the_human_body, 
220
unnatural_offences, offences_affecting_the_human_body, 
            
221
offence_against_state_sedition, offence_against_state_other, 
221
offence_against_state_sedition, offence_against_state_other, 
            
222
offnc_against_public_tanquillity_unlawful_assmbly, 
222
offnc_against_public_tanquillity_unlawful_assmbly, 
            
223
rioting_communal_religious, rioting_sectarian, rioting_industrial, 
223
rioting_communal_religious, rioting_sectarian, rioting_industrial, 
            
224
rioting_political, rioting_caste_conflict, rioting_agrarian, 
224
rioting_political, rioting_caste_conflict, rioting_agrarian, 
            
225
rioting_students, rioting_vigilants, money_dispute_rioting, 
225
rioting_students, rioting_vigilants, money_dispute_rioting, 
            
226
water_dispute_rioting, land_property_dispute_rioting, 
226
water_dispute_rioting, land_property_dispute_rioting, 
            
227
family_dispute_rioting, enmity_rivalry_rioting, 
227
family_dispute_rioting, enmity_rivalry_rioting, 
            
228
electricity_power_supply_dispute_rioting, 
228
electricity_power_supply_dispute_rioting, 
            
229
rioting_while_in_andolan_morcha, 
229
rioting_while_in_andolan_morcha, 
            
230
rioting_at_tacks_on_police_personnel_or_ovt_servants, other_rioting, 
230
rioting_at_tacks_on_police_personnel_or_ovt_servants, other_rioting, 
            
231
promoting_enmity_between_groups, 
231
promoting_enmity_between_groups, 
            
232
imputation_assertions_prejudicial_to_national_integration, affray, 
232
imputation_assertions_prejudicial_to_national_integration, affray, 
            
233
auto_motor_vehicle_theft, other_thefts, day_time, night, 
233
auto_motor_vehicle_theft, other_thefts, day_time, night, 
            
234
extortion_and_blackmailing, robbery, 
234
extortion_and_blackmailing, robbery, 
            
235
attempt_to_commit_dacoity_robbery, dacoity, dacoity_with_murder, 
235
attempt_to_commit_dacoity_robbery, dacoity, dacoity_with_murder, 
            
236
mkng_prptn_and_assembly_for_committing_dacoity, 
236
mkng_prptn_and_assembly_for_committing_dacoity, 
            
237
criminal_misappropriation, criminal_breach_of_trust, 
237
criminal_misappropriation, criminal_breach_of_trust, 
            
238
dishonestly_receiving_dealing_in_stolen_property, counterfeit_coin, 
238
dishonestly_receiving_dealing_in_stolen_property, counterfeit_coin, 
            
239
counterfeiting_government_stamp, counterfeiting_of_seal_or_mark, 
239
counterfeiting_government_stamp, counterfeiting_of_seal_or_mark, 
            
240
counterfeit_currency_and_bank_notes, bank, atms, 
240
counterfeit_currency_and_bank_notes, bank, atms, 
            
241
credit_card_debit_card, other_frauds, cheating, forgery, 
241
credit_card_debit_card, other_frauds, cheating, forgery, 
            
242
mscllns_ipc_crimes_offences_relating_electn, 
242
mscllns_ipc_crimes_offences_relating_electn, 
            
243
disbdnc_ordr_duly_promulgated_by_public_servant, 
243
disbdnc_ordr_duly_promulgated_by_public_servant, 
            
244
harbouring_an_offender, 
244
harbouring_an_offender, 
            
245
offences_relating_adulteration_sale_food_drugs, 
245
offences_relating_adulteration_sale_food_drugs, 
            
246
rash_driving_on_public_way, 
246
rash_driving_on_public_way, 
            
247
causing_hurt_by_rash_negligent_driving_on_public, 
247
causing_hurt_by_rash_negligent_driving_on_public, 
            
248
grvus_hurt_by_rash_negligent_driving_on_public, 
248
grvus_hurt_by_rash_negligent_driving_on_public, 
            
249
obstruction_on_public_way, sale_of_obscene_books_objects, 
249
obstruction_on_public_way, sale_of_obscene_books_objects, 
            
250
obscene_acts_songs_at_public_places, offences_relating_religion, 
250
obscene_acts_songs_at_public_places, offences_relating_religion, 
            
251
cheating_by_impersonation, offences_related_to_mischief, arson, 
251
cheating_by_impersonation, offences_related_to_mischief, arson, 
            
252
criminal_trespass, cruelty_by_husband_or_his_relatives, 
252
criminal_trespass, cruelty_by_husband_or_his_relatives, 
            
253
circulate_false_fake_news_rumours, criminal_intimidation, 
253
circulate_false_fake_news_rumours, criminal_intimidation, 
            
254
insult_to_the_modesty_of_women, other_ipc_crimes, id, year, 
254
insult_to_the_modesty_of_women, other_ipc_crimes, id, year, 
            
255
state_name, state_code, district_name, district_code, 
255
state_name, state_code, district_name, district_code, 
            
256
registeration_circles, dowry_prohibition, traffic_prevention, 
256
registeration_circles, dowry_prohibition, traffic_prevention, 
            
257
prevention_of_women_against_domestic_voilence, 
257
prevention_of_women_against_domestic_voilence, 
            
258
indecent_representation_of_women_prohibition, 
258
indecent_representation_of_women_prohibition, 
            
259
protection_of_children_from_sexual_offences, 
259
protection_of_children_from_sexual_offences, 
            
260
juvenile_justice_care_and_protectione_of_children, 
260
juvenile_justice_care_and_protectione_of_children, 
            
261
prohibition_of_child_marriage, 
261
prohibition_of_child_marriage, 
            
262
pre_natal_diagnotics_tech_reg_and_prev_of_misuse, 
262
pre_natal_diagnotics_tech_reg_and_prev_of_misuse, 
            
263
child_labour_prohibition_and_regulation, 
263
child_labour_prohibition_and_regulation, 
            
264
medical_termination_of_pregnancy, prevention_of_atrocities_against_sc, 
264
medical_termination_of_pregnancy, prevention_of_atrocities_against_sc, 
            
265
prevention_of_atrocities_against_st, 
265
prevention_of_atrocities_against_st, 
            
266
protection_of_civil_rights_against_sc, 
266
protection_of_civil_rights_against_sc, 
            
267
protection_of_civil_rights_against_st, 
267
protection_of_civil_rights_against_st, 
            
268
prevention_of_damage_to_public_property, unlawful_activities, 
268
prevention_of_damage_to_public_property, unlawful_activities, 
            
269
official_secrets, arms_act, legal_licensed_arms, 
269
official_secrets, arms_act, legal_licensed_arms, 
            
270
illegal_licensed_arms, other_arms, explosive_act, explosive_substance, 
270
illegal_licensed_arms, other_arms, explosive_act, explosive_substance, 
            
271
it_act, copy_right_act, trade_mark_act, lotteries_regulation, 
271
it_act, copy_right_act, trade_mark_act, lotteries_regulation, 
            
272
chit_funds_act, negotiable_instruments, 
272
chit_funds_act, negotiable_instruments, 
            
273
benami_transaction_prohibition, mine_and_minerals_dev_and_regulation, 
273
benami_transaction_prohibition, mine_and_minerals_dev_and_regulation, 
            
274
prevention_of_corruption, 
274
prevention_of_corruption, 
            
275
liquor_narcotic_drugs_related_acts_prohibition, prohibiton_act, 
275
liquor_narcotic_drugs_related_acts_prohibition, prohibiton_act, 
            
276
possesion_of_drugs_for_personal_use, 
276
possesion_of_drugs_for_personal_use, 
            
277
possesion_of_drugs_for_tafficking, forest_act_and_forest_conservation, 
277
possesion_of_drugs_for_tafficking, forest_act_and_forest_conservation, 
            
278
wildlife_protection_act, environment_protection_act, 
278
wildlife_protection_act, environment_protection_act, 
            
279
air_and_water_prevention_and_control_of_pollution, 
279
air_and_water_prevention_and_control_of_pollution, 
            
280
cigarette_and_otehr_tobbacco_products, noise_pollution, 
280
cigarette_and_otehr_tobbacco_products, noise_pollution, 
            
281
national_green_tribunal, registration_of_foreigners, passport_act, 
281
national_green_tribunal, registration_of_foreigners, passport_act, 
            
282
emigration_act, citizenship_act, indian_railway_act, 
282
emigration_act, citizenship_act, indian_railway_act, 
            
283
railway_property_unlawful_possession, indian_telegraph_act, 
283
railway_property_unlawful_possession, indian_telegraph_act, 
            
284
telegraph_wire_unlawful_possession, cinematography_act, 
284
telegraph_wire_unlawful_possession, cinematography_act, 
            
285
cable_television_network_regulation, essential_commodities_act, 
285
cable_television_network_regulation, essential_commodities_act, 
            
286
prevention_of_food_adulteration, food_safety_and_standards, 
286
prevention_of_food_adulteration, food_safety_and_standards, 
            
287
macoca_control_f_organised_crime, gambeling_act, electricity_act, 
287
macoca_control_f_organised_crime, gambeling_act, electricity_act, 
            
288
antiques_and_art_tresures, representation_of_the_people, 
288
antiques_and_art_tresures, representation_of_the_people, 
            
289
bonded_labour_system_abolition_against_sc, 
289
bonded_labour_system_abolition_against_sc, 
            
290
bonded_labour_system_abolition_against_st, 
290
bonded_labour_system_abolition_against_st, 
            
291
bonded_labour_system_abolition_against_others, 
291
bonded_labour_system_abolition_against_others, 
            
292
prevention_of_insults_to_national_honour, 
292
prevention_of_insults_to_national_honour, 
            
293
defacement_of_public_property, transplantation_of_human_organs, 
293
defacement_of_public_property, transplantation_of_human_organs, 
            
294
mental_health, motor_vehicle, city_town_police_act, 
294
mental_health, motor_vehicle, city_town_police_act, 
            
295
other_local_state_act, other_sll_crime, id, year, state_name, 
295
other_local_state_act, other_sll_crime, id, year, state_name, 
            
296
state_code, district_name, district_code, registration_circles, 
296
state_code, district_name, district_code, registration_circles, 
            
297
murder, culpable_homicide_not_amt_murder, hit_and_run, 
297
murder, culpable_homicide_not_amt_murder, hit_and_run, 
            
298
acdnt_other_than_hit_and_run_, 
298
acdnt_other_than_hit_and_run_, 
            
299
deaths_due_to_negligence_relating_to_rail_acdnt, 
299
deaths_due_to_negligence_relating_to_rail_acdnt, 
            
300
deaths_due_to_medical_negnc, deaths_due_to_negnc_of_civic_bodies, 
300
deaths_due_to_medical_negnc, deaths_due_to_negnc_of_civic_bodies, 
            
301
deaths_due_to_other_negnc, dowry_deaths, abetment_of_suicide, 
301
deaths_due_to_other_negnc, dowry_deaths, abetment_of_suicide, 
            
302
attempt_to_cmmt_murder, attempt_to_cmmt_culpable_homicide, 
302
attempt_to_cmmt_murder, attempt_to_cmmt_culpable_homicide, 
            
303
attempt_to_cmmt_suicide, miscrrg_infntcd_foeticide_and_abandonment, 
303
attempt_to_cmmt_suicide, miscrrg_infntcd_foeticide_and_abandonment, 
            
304
volntrly_causing_simple_hurt, 
304
volntrly_causing_simple_hurt, 
            
305
volntrly_causing_hurt_by_dangers_weapons, 
305
volntrly_causing_hurt_by_dangers_weapons, 
            
306
volntrly_causing_hurt_force_deter_public_srvnt_his_duty, 
306
volntrly_causing_hurt_force_deter_public_srvnt_his_duty, 
            
307
causing_hurt_by_act_endgrng_life_safety, other_simple_hurt, 
307
causing_hurt_by_act_endgrng_life_safety, other_simple_hurt, 
            
308
voluntarily_causing_grievous_hurt, 
308
voluntarily_causing_grievous_hurt, 
            
309
volntrly_causing_grvus_hrt_dangerous_wepn_or_mns, acid_attack_sec, 
309
volntrly_causing_grvus_hrt_dangerous_wepn_or_mns, acid_attack_sec, 
            
310
attempt_to_acid_attack, 
310
attempt_to_acid_attack, 
            
311
volntrly_causing_grvus_hrt_frc_deter_public_srvnt_on_duty, 
311
volntrly_causing_grvus_hrt_frc_deter_public_srvnt_on_duty, 
            
312
causing_grvus_hrt_endangering_life_safety_others, other_grievous_hurt, 
312
causing_grvus_hrt_endangering_life_safety_others, other_grievous_hurt, 
            
313
wrongful_restraint_confinement, assault_on_women, 
313
wrongful_restraint_confinement, assault_on_women, 
            
314
sexl_hrrsmt_work_office_prms, sexl_hrrsmt_in_public_trnsprt_sys, 
314
sexl_hrrsmt_work_office_prms, sexl_hrrsmt_in_public_trnsprt_sys, 
            
315
sexl_hrrsmt_shelter_homes_for_women_child, sexl_hrrsmt_other_places, 
315
sexl_hrrsmt_shelter_homes_for_women_child, sexl_hrrsmt_other_places, 
            
316
assult_use_of_criminal_force_wmn_wth_intnt_disrbe, voyeurism, 
316
assult_use_of_criminal_force_wmn_wth_intnt_disrbe, voyeurism, 
            
317
stalking, missing_children_deemed_as_kidnapped, 
317
stalking, missing_children_deemed_as_kidnapped, 
            
318
other_kidnapping_abduction, 
318
other_kidnapping_abduction, 
            
319
kidnp_and_abdctn_for_the_purpose_of_begging, 
319
kidnp_and_abdctn_for_the_purpose_of_begging, 
            
320
kidnp_and_abdctn_in_order_to_murder, kidnapping_for_ransom, 
320
kidnp_and_abdctn_in_order_to_murder, kidnapping_for_ransom, 
            
321
kidnp_and_abdctn_women_compel_for_marrg, procuration_of_minor_girls, 
321
kidnp_and_abdctn_women_compel_for_marrg, procuration_of_minor_girls, 
            
322
importation_of_girls_from_foreign_country, 
322
importation_of_girls_from_foreign_country, 
            
323
other_kidnapping_abduction_sec_356, human_trafficking, 
323
other_kidnapping_abduction_sec_356, human_trafficking, 
            
324
exploitation_of_trafficked_person, selling_of_minors_for_prostitution, 
324
exploitation_of_trafficked_person, selling_of_minors_for_prostitution, 
            
325
buying_of_minors_for_prostitution, rape_sec, attempt_to_commit_rape, 
325
buying_of_minors_for_prostitution, rape_sec, attempt_to_commit_rape, 
            
326
unnatural_offences, offences_against_state_sedition, 
326
unnatural_offences, offences_against_state_sedition, 
            
327
offence_against_state_other, 
327
offence_against_state_other, 
            
328
offences_agnst_pblc_trnqullty_unlwfl_assmbly, 
328
offences_agnst_pblc_trnqullty_unlwfl_assmbly, 
            
329
rioting_communal_religious, rioting_sectarian, rioting_industrial, 
329
rioting_communal_religious, rioting_sectarian, rioting_industrial, 
            
330
rioting_political, rioting_caste_conflict, rioting_agrarian, 
330
rioting_political, rioting_caste_conflict, rioting_agrarian, 
            
331
rioting_students, rioting_vigilants, rioting_money_dispute, 
331
rioting_students, rioting_vigilants, rioting_money_dispute, 
            
332
rioting_water_dispute, rioting_land_property_dispute, 
332
rioting_water_dispute, rioting_land_property_dispute, 
            
333
rioting_family_disputes, rioting_enmity_rivalry, 
333
rioting_family_disputes, rioting_enmity_rivalry, 
            
334
rioting_electricity_power_supply_disputes, 
334
rioting_electricity_power_supply_disputes, 
            
335
rioting_while_in_aandolan_morcha, rtng_atck_polc_prsnl_gvt_srvnt, 
335
rioting_while_in_aandolan_morcha, rtng_atck_polc_prsnl_gvt_srvnt, 
            
336
other_rioting, promoting_enmity_between_groups, 
336
other_rioting, promoting_enmity_between_groups, 
            
337
imptn_asrtns_prjudcal_ntnl_intgrtn, affray, auto_motor_vehicle_theft, 
337
imptn_asrtns_prjudcal_ntnl_intgrtn, affray, auto_motor_vehicle_theft, 
            
338
other_thefts, day_time_burglary, night_burglary, 
338
other_thefts, day_time_burglary, night_burglary, 
            
339
extortion_and_blackmailing, robbery, 
339
extortion_and_blackmailing, robbery, 
            
340
attempt_to_commit_dacoity_robbery, dacoity, dacoity_with_murder, 
340
attempt_to_commit_dacoity_robbery, dacoity, dacoity_with_murder, 
            
341
mkng_prprtn_nd_assmbly_for_cmmttng_dcty, criminal_misappropriation, 
341
mkng_prprtn_nd_assmbly_for_cmmttng_dcty, criminal_misappropriation, 
            
342
criminal_breach_of_trust, 
342
criminal_breach_of_trust, 
            
343
dishonestly_receiving_or_dealing_in_stolen_property, counterfeit_coin, 
343
dishonestly_receiving_or_dealing_in_stolen_property, counterfeit_coin, 
            
344
counterfeiting_government_stamp, counterfeiting_of_seal_or_mark, 
344
counterfeiting_government_stamp, counterfeiting_of_seal_or_mark, 
            
345
counterfeit_currency_bank_notes, bank_frauds, atm_fraud, 
345
counterfeit_currency_bank_notes, bank_frauds, atm_fraud, 
            
346
credit_debit_card_fraud, other_frauds, cheating, forgery, 
346
credit_debit_card_fraud, other_frauds, cheating, forgery, 
            
347
offences_relating_to_elections, 
347
offences_relating_to_elections, 
            
348
disbnc_ordr_duly_prmlgtd_by_pblc_srvnt, harbouring_an_offender, 
348
disbnc_ordr_duly_prmlgtd_by_pblc_srvnt, harbouring_an_offender, 
            
349
offnc_relating_to_adultrn_or_sale_of_food_drugs, 
349
offnc_relating_to_adultrn_or_sale_of_food_drugs, 
            
350
rash_driving_on_public_way, csng_hrt_rsh_nglgnt_drvng_pblc_wy, 
350
rash_driving_on_public_way, csng_hrt_rsh_nglgnt_drvng_pblc_wy, 
            
351
rash_driving_grvus_hurt_by_rash_negligent_driving, 
351
rash_driving_grvus_hurt_by_rash_negligent_driving, 
            
352
obstruction_on_public_way, sale_of_obscene_books_objects, 
352
obstruction_on_public_way, sale_of_obscene_books_objects, 
            
353
obscene_acts_and_songs_at_public_places, 
353
obscene_acts_and_songs_at_public_places, 
            
354
offences_relating_to_religion, cheating_by_impersonation, 
354
offences_relating_to_religion, cheating_by_impersonation, 
            
355
offences_related_to_mischief, arson, criminal_trespass, 
355
offences_related_to_mischief, arson, criminal_trespass, 
            
356
cruelty_by_husband_or_his_relatives, 
356
cruelty_by_husband_or_his_relatives, 
            
357
circulate_false_fake_news_rumours, criminal_intimidation, 
357
circulate_false_fake_news_rumours, criminal_intimidation, 
            
358
insult_to_the_modesty_of_women, other_ipc_crimes, id, year, 
358
insult_to_the_modesty_of_women, other_ipc_crimes, id, year, 
            
359
state_name, state_code, district_name, district_code, 
359
state_name, state_code, district_name, district_code, 
            
360
registration_circles, arms_act, ndps_act, gambling, excise, 
360
registration_circles, arms_act, ndps_act, gambling, excise, 
            
361
prohibition, explosives_and_explosive_substances, 
361
prohibition, explosives_and_explosive_substances, 
            
362
immoral_traffic_prevention, indian_railways, 
362
immoral_traffic_prevention, indian_railways, 
            
363
registration_of_foreigners, protection_of_civil_rights, passport_act, 
363
registration_of_foreigners, protection_of_civil_rights, passport_act, 
            
364
essential_commodities, antiquities_and_art_treasures, 
364
essential_commodities, antiquities_and_art_treasures, 
            
365
dowry_prohibition, indecent_representation_of_women_prohibition, 
365
dowry_prohibition, indecent_representation_of_women_prohibition, 
            
366
copyright_act, commission_of_sati_prevention, sc_st_poa_act, 
366
copyright_act, commission_of_sati_prevention, sc_st_poa_act, 
            
367
forest_act, prohibition_of_child_marriage, 
367
forest_act, prohibition_of_child_marriage, 
            
368
protection_of_women_from_domestic_violence, information_technology, 
368
protection_of_women_from_domestic_violence, information_technology, 
            
369
official_secrets, electricity, wildlife_protection, 
369
official_secrets, electricity, wildlife_protection, 
            
370
bonded_labour_system_abolition, environmental_protection, 
370
bonded_labour_system_abolition, environmental_protection, 
            
371
air_prevention_and_control_of_pollution, 
371
air_prevention_and_control_of_pollution, 
            
372
water_prevention_and_control_of_pollution, national_security_act, 
372
water_prevention_and_control_of_pollution, national_security_act, 
            
373
unlawful_activities_prevention, young_persons_harmful_publication, 
373
unlawful_activities_prevention, young_persons_harmful_publication, 
            
374
railway_property_unlawful_possession, 
374
railway_property_unlawful_possession, 
            
375
prevention_of_damage_to_public_property, 
375
prevention_of_damage_to_public_property, 
            
376
transplantation_of_human_organs, trade_mark_act, 
376
transplantation_of_human_organs, trade_mark_act, 
            
377
prevention_of_insults_to_national_honour, 
377
prevention_of_insults_to_national_honour, 
            
378
state_emblem_prohibition_of_improper_use, lotteries_regulation, 
378
state_emblem_prohibition_of_improper_use, lotteries_regulation, 
            
379
citizenship_act, foreigners_act, place_of_worship_special_provisions, 
379
citizenship_act, foreigners_act, place_of_worship_special_provisions, 
            
380
religious_institution_prevention_of_misuse, 
380
religious_institution_prevention_of_misuse, 
            
381
representation_of_the_people, emigration_act, 
381
representation_of_the_people, emigration_act, 
            
382
juvenile_justice_care_and_protection_of_children, 
382
juvenile_justice_care_and_protection_of_children, 
            
383
infant_substitutes_regulation, anti_hijacking, atomic_energy, 
383
infant_substitutes_regulation, anti_hijacking, atomic_energy, 
            
384
wepns_of_mass_drstn_proh_of_unlawful_activities, 
384
wepns_of_mass_drstn_proh_of_unlawful_activities, 
            
385
supprn_of_unlawful_acts_against_safety_of_civil_aviation, 
385
supprn_of_unlawful_acts_against_safety_of_civil_aviation, 
            
386
safety_of_maritime_navigation, 
386
safety_of_maritime_navigation, 
            
387
mnl_scavengers_construction_of_dry_latrines, 
387
mnl_scavengers_construction_of_dry_latrines, 
            
388
prenatal_diagnostic_techniques_reg_and_prev_of_misuse, 
388
prenatal_diagnostic_techniques_reg_and_prev_of_misuse, 
            
389
maritime_zone_of_india_reg_of_fishing_by_for_vessel, other_sll_crimes, 
389
maritime_zone_of_india_reg_of_fishing_by_for_vessel, other_sll_crimes, 
            
390
id, year, state_name, state_code, district_name, district_code, 
390
id, year, state_name, state_code, district_name, district_code, 
            
391
registration_circles, dowry_prohibition, immoral_traffic_prevention, 
391
registration_circles, dowry_prohibition, immoral_traffic_prevention, 
            
392
women_protection_from_domestic_voilence, 
392
women_protection_from_domestic_voilence, 
            
393
indecent_representation_of_women_prohibition, 
393
indecent_representation_of_women_prohibition, 
            
394
protection_of_children_from_sexual_offences, 
394
protection_of_children_from_sexual_offences, 
            
395
juvenile_justice_care_and_protection_of_children, 
395
juvenile_justice_care_and_protection_of_children, 
            
396
prohibition_of_child_marriage, 
396
prohibition_of_child_marriage, 
            
397
pre_natal_diagnostic_techniques_reg_and_prev_of_misuse, 
397
pre_natal_diagnostic_techniques_reg_and_prev_of_misuse, 
            
398
child_labour_prohibition_regulation, medical_termination_of_pregnancy, 
398
child_labour_prohibition_regulation, medical_termination_of_pregnancy, 
            
399
prevention_of_atrocities_against_scs, 
399
prevention_of_atrocities_against_scs, 
            
400
prevention_of_atrocities_against_sts, 
400
prevention_of_atrocities_against_sts, 
            
401
protection_of_civil_rights_against_scs, 
401
protection_of_civil_rights_against_scs, 
            
402
protection_of_civil_rights_against_sts, 
402
protection_of_civil_rights_against_sts, 
            
403
prevention_of_damage_to_public_property_act, unlawful_activities_act, 
403
prevention_of_damage_to_public_property_act, unlawful_activities_act, 
            
404
official_secrets_act, legal_license_arms, illegal_license_arms, 
404
official_secrets_act, legal_license_arms, illegal_license_arms, 
            
405
other_arms, explosives_act, explosive_substances, 
405
other_arms, explosives_act, explosive_substances, 
            
406
information_technology_act, copy_right_act, the_trade_marks_act, 
406
information_technology_act, copy_right_act, the_trade_marks_act, 
            
407
lotteries_regulation_act, chit_funds_act, negotiable_instruments_act, 
407
lotteries_regulation_act, chit_funds_act, negotiable_instruments_act, 
            
408
benami_transaction_prohibition_act, 
408
benami_transaction_prohibition_act, 
            
409
mines_and_minerals_development_and_regulation, 
409
mines_and_minerals_development_and_regulation, 
            
410
prevention_of_corruption, liquor_narcotic_drugs_prohibition, 
410
prevention_of_corruption, liquor_narcotic_drugs_prohibition, 
            
411
excise_act, possession_of_drugs_for_personal_use_consumption, 
411
excise_act, possession_of_drugs_for_personal_use_consumption, 
            
412
possession_of_drugs_for_trafficking, 
412
possession_of_drugs_for_trafficking, 
            
413
forest_act_and_forest_conservation, wildlife_protection, 
413
forest_act_and_forest_conservation, wildlife_protection, 
            
414
environmental_protection, air_water_prevention_pollution_control, 
414
environmental_protection, air_water_prevention_pollution_control, 
            
415
cigarette_and_tobacco_products, noise_pollution, 
415
cigarette_and_tobacco_products, noise_pollution, 
            
416
national_green_tribunal, registration_of_foreigners_and_foreigners, 
416
national_green_tribunal, registration_of_foreigners_and_foreigners, 
            
417
passport_act, emigration_act, citizenship_act, indian_railways_act, 
417
passport_act, emigration_act, citizenship_act, indian_railways_act, 
            
418
railway_property_unlawful_possession, indian_telegraph, 
418
railway_property_unlawful_possession, indian_telegraph, 
            
419
telegraph_wire_unlawful_possession, cinematograph_act, 
419
telegraph_wire_unlawful_possession, cinematograph_act, 
            
420
cable_television_networks_regulation, essential_commodities, 
420
cable_television_networks_regulation, essential_commodities, 
            
421
prevention_of_food_adulteration, food_safety_standards, 
421
prevention_of_food_adulteration, food_safety_standards, 
            
422
macoca_control_of_organised_crimes, gambling_act, electricity_act, 
422
macoca_control_of_organised_crimes, gambling_act, electricity_act, 
            
423
antiques_and_art_treasures, representation_of_the_people, 
423
antiques_and_art_treasures, representation_of_the_people, 
            
424
bonded_labour_against_sc, bonded_labour_against_st, 
424
bonded_labour_against_sc, bonded_labour_against_st, 
            
425
bonded_labour_against_others, 
425
bonded_labour_against_others, 
            
426
prevention_of_insults_to_national_honour, 
426
prevention_of_insults_to_national_honour, 
            
427
defacement_of_public_property, transplantation_of_human_organ, 
427
defacement_of_public_property, transplantation_of_human_organ, 
            
428
mental_health_act, motor_vehicle_act, city_town_police_acts, 
428
mental_health_act, motor_vehicle_act, city_town_police_acts, 
            
429
other_state_local_acts, other_sll_crimes, 
429
other_state_local_acts, other_sll_crimes, 
            
430
transgender_persons_protection_of_rights_act"
430
transgender_persons_protection_of_rights_act"
            
431
    }
431
    }
            
432
  ],
432
  ],
            
433
  "groups": [],
433
  "groups": [],
            
434
  "id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
434
  "id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
435
  "isopen": false,
435
  "isopen": false,
            
436
  "license_id": "",
436
  "license_id": "",
            
437
  "license_title": "",
437
  "license_title": "",
            
438
  "maintainer": null,
438
  "maintainer": null,
            
439
  "maintainer_email": null,
439
  "maintainer_email": null,
            
440
  "metadata_created": "2024-09-04T07:28:06.280415",
440
  "metadata_created": "2024-09-04T07:28:06.280415",
            
n
441
  "metadata_modified": "2024-11-20T18:29:00.258764",
n
441
  "metadata_modified": "2024-11-20T18:29:23.510158",
            
442
  "methodology": "",
442
  "methodology": "",
            
443
  "name": "crime-statistics",
443
  "name": "crime-statistics",
            
444
  "notes": "\"Crime Statistics\" is a comprehensive collection of 
444
  "notes": "\"Crime Statistics\" is a comprehensive collection of 
            
445
datasets focused on various dimensions of crime within a region, 
445
datasets focused on various dimensions of crime within a region, 
            
446
state, and district provided by the National Crime Records Bureau 
446
state, and district provided by the National Crime Records Bureau 
            
447
(NCRB).  This dataset collection is invaluable for researchers, 
447
(NCRB).  This dataset collection is invaluable for researchers, 
            
448
policymakers, law enforcement agencies, and social welfare 
448
policymakers, law enforcement agencies, and social welfare 
            
449
organizations. It provides a multifaceted view of crime, covering 
449
organizations. It provides a multifaceted view of crime, covering 
            
450
different victim groups and crime types, ranging from crimes against 
450
different victim groups and crime types, ranging from crimes against 
            
451
specific social groups to cybercrimes and missing person cases. The 
451
specific social groups to cybercrimes and missing person cases. The 
            
452
datasets included help analyze trends, formulate targeted policies, 
452
datasets included help analyze trends, formulate targeted policies, 
            
453
and implement crime prevention strategies.",
453
and implement crime prevention strategies.",
            
n
454
  "num_resources": 16,
n
454
  "num_resources": 15,
            
455
  "num_tags": 1,
455
  "num_tags": 1,
            
456
  "organization": {
456
  "organization": {
            
457
    "approval_status": "approved",
457
    "approval_status": "approved",
            
458
    "created": "2022-12-05T03:44:54.080358",
458
    "created": "2022-12-05T03:44:54.080358",
            
459
    "description": "",
459
    "description": "",
            
460
    "id": "94317457-d297-4549-9640-7865034682c5",
460
    "id": "94317457-d297-4549-9640-7865034682c5",
            
461
    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
461
    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
            
462
    "is_organization": true,
462
    "is_organization": true,
            
463
    "name": "idp-organization",
463
    "name": "idp-organization",
            
464
    "state": "active",
464
    "state": "active",
            
465
    "title": "IDP organization",
465
    "title": "IDP organization",
            
466
    "type": "organization"
466
    "type": "organization"
            
467
  },
467
  },
            
468
  "owner_org": "94317457-d297-4549-9640-7865034682c5",
468
  "owner_org": "94317457-d297-4549-9640-7865034682c5",
            
469
  "private": false,
469
  "private": false,
            
470
  "relationships_as_object": [],
470
  "relationships_as_object": [],
            
471
  "relationships_as_subject": [],
471
  "relationships_as_subject": [],
            
472
  "resources": [
472
  "resources": [
            
473
    {
473
    {
            
474
      "additional_info": "nan",
474
      "additional_info": "nan",
            
475
      "cache_last_updated": null,
475
      "cache_last_updated": null,
            
476
      "cache_url": null,
476
      "cache_url": null,
            
477
      "created": "2024-09-04T08:59:22.702430",
477
      "created": "2024-09-04T08:59:22.702430",
            
478
      "data_extraction_page": 
478
      "data_extraction_page": 
            
479
"https://ncrb.gov.in/crime-in-india.html",
479
"https://ncrb.gov.in/crime-in-india.html",
            
480
      "data_insights": "These are a few insights that can be drawn 
480
      "data_insights": "These are a few insights that can be drawn 
            
481
from the Crimes against children data:Trend Analysis: Examining trends 
481
from the Crimes against children data:Trend Analysis: Examining trends 
            
482
over time can reveal whether child crime rates are increasing or 
482
over time can reveal whether child crime rates are increasing or 
            
483
decreasing. Identifying spikes in certain periods can prompt targeted 
483
decreasing. Identifying spikes in certain periods can prompt targeted 
            
484
interventions.Geographical Patterns: Analyzing data by district helps 
484
interventions.Geographical Patterns: Analyzing data by district helps 
            
485
identify regions with higher child crime rates. This information can 
485
identify regions with higher child crime rates. This information can 
            
486
guide resource allocation and intervention strategies.Crime Types: 
486
guide resource allocation and intervention strategies.Crime Types: 
            
487
Understanding the types of crimes committed against children, such as 
487
Understanding the types of crimes committed against children, such as 
            
488
abuse, abduction, or child labor, helps tailor prevention and support 
488
abuse, abduction, or child labor, helps tailor prevention and support 
            
489
programs.Preventive Measures: These insights support the development 
489
programs.Preventive Measures: These insights support the development 
            
490
of preventive measures, educational campaigns, and support services to 
490
of preventive measures, educational campaigns, and support services to 
            
491
reduce crimes against children.",
491
reduce crimes against children.",
            
492
      "data_last_updated": "2024-08-01 00:00:00",
492
      "data_last_updated": "2024-08-01 00:00:00",
            
493
      "data_retreival_date": "2024-07-01 00:00:00",
493
      "data_retreival_date": "2024-07-01 00:00:00",
            
494
      "datastore_active": true,
494
      "datastore_active": true,
            
495
      "description": "Data on crimes against children in each district 
495
      "description": "Data on crimes against children in each district 
            
496
is a pivotal resource. It offers valuable insights into child safety, 
496
is a pivotal resource. It offers valuable insights into child safety, 
            
497
aiding policymakers, law enforcement, and communities. By identifying 
497
aiding policymakers, law enforcement, and communities. By identifying 
            
498
crime trends and hotspots, resources can be directed effectively. It 
498
crime trends and hotspots, resources can be directed effectively. It 
            
499
enables the assessment of child protection measures, highlighting 
499
enables the assessment of child protection measures, highlighting 
            
500
areas for improvement. Communities and organizations can use this data 
500
areas for improvement. Communities and organizations can use this data 
            
501
for advocacy and awareness campaigns, fostering a safer environment. 
501
for advocacy and awareness campaigns, fostering a safer environment. 
            
502
In essence, it empowers evidence-based policy formulation to ensure 
502
In essence, it empowers evidence-based policy formulation to ensure 
            
503
the welfare of our nation's youth, reflecting its immense significance 
503
the welfare of our nation's youth, reflecting its immense significance 
            
504
in child protection and welfare efforts.",
504
in child protection and welfare efforts.",
            
505
      "district_no": "679",
505
      "district_no": "679",
            
506
      "format": "CSV",
506
      "format": "CSV",
            
507
      "frequency": "Yearly",
507
      "frequency": "Yearly",
            
508
      "gp_no": "",
508
      "gp_no": "",
            
509
      "granularity": "District",
509
      "granularity": "District",
            
510
      "hash": "",
510
      "hash": "",
            
511
      "id": "a05be750-e5da-416b-bd05-6ff3a15fec7e",
511
      "id": "a05be750-e5da-416b-bd05-6ff3a15fec7e",
            
512
      "idp_ready": true,
512
      "idp_ready": true,
            
513
      "indicators": [],
513
      "indicators": [],
            
514
      "last_modified": "2024-09-04T09:06:52.955438",
514
      "last_modified": "2024-09-04T09:06:52.955438",
            
515
      "lgd_mapping": "yes",
515
      "lgd_mapping": "yes",
            
516
      "metadata_modified": "2024-09-20T08:04:23.945252",
516
      "metadata_modified": "2024-09-20T08:04:23.945252",
            
517
      "methodology": "Data on crimes against children in each district 
517
      "methodology": "Data on crimes against children in each district 
            
518
is gathered through a collaborative effort. Law enforcement agencies, 
518
is gathered through a collaborative effort. Law enforcement agencies, 
            
519
including local police, play a central role by documenting reported 
519
including local police, play a central role by documenting reported 
            
520
incidents. Child welfare organizations, NGOs, and government bodies 
520
incidents. Child welfare organizations, NGOs, and government bodies 
            
521
also contribute data through surveys and studies. Medical institutions 
521
also contribute data through surveys and studies. Medical institutions 
            
522
report cases when providing care to affected children. Collaboration 
522
report cases when providing care to affected children. Collaboration 
            
523
among these stakeholders is vital for comprehensive data. Legal 
523
among these stakeholders is vital for comprehensive data. Legal 
            
524
frameworks and protocols guide data collection, and audits ensure 
524
frameworks and protocols guide data collection, and audits ensure 
            
525
accuracy. Overall, this collaborative approach helps assess child 
525
accuracy. Overall, this collaborative approach helps assess child 
            
526
protection needs and develop effective strategies at the district 
526
protection needs and develop effective strategies at the district 
            
527
level.",
527
level.",
            
528
      "mimetype": null,
528
      "mimetype": null,
            
529
      "mimetype_inner": null,
529
      "mimetype_inner": null,
            
530
      "name": "Districtwise Crime Against Children 2016",
530
      "name": "Districtwise Crime Against Children 2016",
            
531
      "no_indicators": "23",
531
      "no_indicators": "23",
            
532
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
532
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
533
      "position": 0,
533
      "position": 0,
            
534
      "resource_type": null,
534
      "resource_type": null,
            
535
      "similar_resources": "",
535
      "similar_resources": "",
            
536
      "size": 125519,
536
      "size": 125519,
            
537
      "sku": "ncrb-cii_crime_against_children-dt-yr-prv",
537
      "sku": "ncrb-cii_crime_against_children-dt-yr-prv",
            
538
      "state": "active",
538
      "state": "active",
            
539
      "states_uts_no": "35",
539
      "states_uts_no": "35",
            
540
      "tehsil_no": "",
540
      "tehsil_no": "",
            
541
      "url": 
541
      "url": 
            
542
5-6ff3a15fec7e/download/districtwise-crime-against-children-2016.csv",
542
5-6ff3a15fec7e/download/districtwise-crime-against-children-2016.csv",
            
543
      "url_type": "upload",
543
      "url_type": "upload",
            
544
      "years_covered": "2016"
544
      "years_covered": "2016"
            
545
    },
545
    },
            
546
    {
546
    {
            
547
      "additional_info": "nan",
547
      "additional_info": "nan",
            
548
      "cache_last_updated": null,
548
      "cache_last_updated": null,
            
549
      "cache_url": null,
549
      "cache_url": null,
            
550
      "created": "2024-09-04T10:59:36.817928",
550
      "created": "2024-09-04T10:59:36.817928",
            
551
      "data_extraction_page": 
551
      "data_extraction_page": 
            
552
"https://ncrb.gov.in/crime-in-india.html",
552
"https://ncrb.gov.in/crime-in-india.html",
            
553
      "data_insights": "Data Insights that can be drawn:Yearly trends 
553
      "data_insights": "Data Insights that can be drawn:Yearly trends 
            
554
of crimes against ST's across India.Identification of states and 
554
of crimes against ST's across India.Identification of states and 
            
555
districts with the highest and lowest numbers of specific types of 
555
districts with the highest and lowest numbers of specific types of 
            
556
crimes.Comparative analysis of crime rates between different states or 
556
crimes.Comparative analysis of crime rates between different states or 
            
557
districts.Analyzing patterns and correlations between different types 
557
districts.Analyzing patterns and correlations between different types 
            
558
of crimes.Determining the efficacy of legal sections (like the 
558
of crimes.Determining the efficacy of legal sections (like the 
            
559
Prevention of Atrocities Act or Protection of Civil Rights Act) in 
559
Prevention of Atrocities Act or Protection of Civil Rights Act) in 
            
560
dealing with crimes against ST's.Insights into the most frequent types 
560
dealing with crimes against ST's.Insights into the most frequent types 
            
561
of crimes against ST's in specific regions or over tim",
561
of crimes against ST's in specific regions or over tim",
            
562
      "data_last_updated": "nan",
562
      "data_last_updated": "nan",
            
563
      "data_retreival_date": "2024-08-01 00:00:00",
563
      "data_retreival_date": "2024-08-01 00:00:00",
            
564
      "datastore_active": true,
564
      "datastore_active": true,
            
565
      "description": "The \"Crime against ST's\" dataset provides 
565
      "description": "The \"Crime against ST's\" dataset provides 
            
566
comprehensive data regarding crimes committed against Scheduled Tribes 
566
comprehensive data regarding crimes committed against Scheduled Tribes 
            
567
(ST) in India. The dataset is sourced from the official database of 
567
(ST) in India. The dataset is sourced from the official database of 
            
568
the National Crime Records Bureau (NCRB), which collects and presents 
568
the National Crime Records Bureau (NCRB), which collects and presents 
            
569
nationwide data on crimes. This dataset specifically details the types 
569
nationwide data on crimes. This dataset specifically details the types 
            
570
of crimes, the number of incidents, and categorizes them based on 
570
of crimes, the number of incidents, and categorizes them based on 
            
571
their Indian Penal Code (IPC) sections. Data is categorized yearly and 
571
their Indian Penal Code (IPC) sections. Data is categorized yearly and 
            
572
covers information at the state and district levels.",
572
covers information at the state and district levels.",
            
573
      "district_no": "679",
573
      "district_no": "679",
            
574
      "format": "CSV",
574
      "format": "CSV",
            
575
      "frequency": "Yearly",
575
      "frequency": "Yearly",
            
576
      "gp_no": "",
576
      "gp_no": "",
            
577
      "granularity": "District",
577
      "granularity": "District",
            
578
      "hash": "",
578
      "hash": "",
            
579
      "id": "2fc068a1-aa59-4960-9636-29d4b18a35ca",
579
      "id": "2fc068a1-aa59-4960-9636-29d4b18a35ca",
            
580
      "idp_ready": true,
580
      "idp_ready": true,
            
581
      "indicators": [],
581
      "indicators": [],
            
582
      "last_modified": "2024-09-04T10:59:36.801869",
582
      "last_modified": "2024-09-04T10:59:36.801869",
            
583
      "lgd_mapping": "yes",
583
      "lgd_mapping": "yes",
            
584
      "metadata_modified": "2024-09-05T08:35:21.099553",
584
      "metadata_modified": "2024-09-05T08:35:21.099553",
            
585
      "methodology": "The dataset is collected by the National Crime 
585
      "methodology": "The dataset is collected by the National Crime 
            
586
Records Bureau (NCRB) from state and district police departments 
586
Records Bureau (NCRB) from state and district police departments 
            
587
across India. The data is collated based on First Information Reports 
587
across India. The data is collated based on First Information Reports 
            
588
(FIR) filed in police stations. Each entry represents a crime 
588
(FIR) filed in police stations. Each entry represents a crime 
            
589
categorized under specific sections of the IPC or other related acts 
589
categorized under specific sections of the IPC or other related acts 
            
590
and is further broken down by state, district, and year.",
590
and is further broken down by state, district, and year.",
            
591
      "mimetype": null,
591
      "mimetype": null,
            
592
      "mimetype_inner": null,
592
      "mimetype_inner": null,
            
593
      "name": "Crime Against STs 2016",
593
      "name": "Crime Against STs 2016",
            
594
      "no_indicators": "15",
594
      "no_indicators": "15",
            
595
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
595
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
596
      "position": 1,
596
      "position": 1,
            
597
      "resource_type": null,
597
      "resource_type": null,
            
598
      "similar_resources": "",
598
      "similar_resources": "",
            
599
      "size": 97535,
599
      "size": 97535,
            
600
      "sku": "ncrb-cii_crime_against_st-dt-yr-prv",
600
      "sku": "ncrb-cii_crime_against_st-dt-yr-prv",
            
601
      "state": "active",
601
      "state": "active",
            
602
      "states_uts_no": "35",
602
      "states_uts_no": "35",
            
603
      "tehsil_no": "",
603
      "tehsil_no": "",
            
604
      "url": 
604
      "url": 
            
605
/2fc068a1-aa59-4960-9636-29d4b18a35ca/download/crime-against-sts.csv",
605
/2fc068a1-aa59-4960-9636-29d4b18a35ca/download/crime-against-sts.csv",
            
606
      "url_type": "upload",
606
      "url_type": "upload",
            
607
      "years_covered": "2016"
607
      "years_covered": "2016"
            
608
    },
608
    },
            
609
    {
609
    {
            
610
      "additional_info": "nan",
610
      "additional_info": "nan",
            
611
      "cache_last_updated": null,
611
      "cache_last_updated": null,
            
612
      "cache_url": null,
612
      "cache_url": null,
            
613
      "created": "2024-09-04T11:06:21.337810",
613
      "created": "2024-09-04T11:06:21.337810",
            
614
      "data_extraction_page": 
614
      "data_extraction_page": 
            
615
"https://ncrb.gov.in/crime-in-india.html",
615
"https://ncrb.gov.in/crime-in-india.html",
            
616
      "data_insights": "Data Insights that can be drawn:\nYearly 
616
      "data_insights": "Data Insights that can be drawn:\nYearly 
            
617
trends of crimes against ST's across India.\nIdentification of states 
617
trends of crimes against ST's across India.\nIdentification of states 
            
618
and districts with the highest and lowest numbers of specific types of 
618
and districts with the highest and lowest numbers of specific types of 
            
619
crimes.\nComparative analysis of crime rates between different states 
619
crimes.\nComparative analysis of crime rates between different states 
            
620
or districts.\nAnalyzing patterns and correlations between different 
620
or districts.\nAnalyzing patterns and correlations between different 
            
621
types of crimes.\nDetermining the efficacy of legal sections (like the 
621
types of crimes.\nDetermining the efficacy of legal sections (like the 
            
622
Prevention of Atrocities Act or Protection of Civil Rights Act) in 
622
Prevention of Atrocities Act or Protection of Civil Rights Act) in 
            
623
dealing with crimes against ST's.\nInsights into the most frequent 
623
dealing with crimes against ST's.\nInsights into the most frequent 
            
624
types of crimes against ST's in specific regions or over tim",
624
types of crimes against ST's in specific regions or over tim",
            
625
      "data_last_updated": "01-08-2024",
625
      "data_last_updated": "01-08-2024",
            
626
      "data_retreival_date": "2024-07-01 00:00:00",
626
      "data_retreival_date": "2024-07-01 00:00:00",
            
627
      "datastore_active": true,
627
      "datastore_active": true,
            
628
      "description": "The \"Crime against ST's\" dataset provides 
628
      "description": "The \"Crime against ST's\" dataset provides 
            
629
comprehensive data regarding crimes committed against Scheduled Tribes 
629
comprehensive data regarding crimes committed against Scheduled Tribes 
            
630
(ST) in India. The dataset is sourced from the official database of 
630
(ST) in India. The dataset is sourced from the official database of 
            
631
the National Crime Records Bureau (NCRB), which collects and presents 
631
the National Crime Records Bureau (NCRB), which collects and presents 
            
632
nationwide data on crimes. This dataset specifically details the types 
632
nationwide data on crimes. This dataset specifically details the types 
            
633
of crimes, the number of incidents, and categorizes them based on 
633
of crimes, the number of incidents, and categorizes them based on 
            
634
their Indian Penal Code (IPC) sections. Data is categorized yearly and 
634
their Indian Penal Code (IPC) sections. Data is categorized yearly and 
            
635
covers information at the state and district levels.",
635
covers information at the state and district levels.",
            
636
      "district_no": "923",
636
      "district_no": "923",
            
637
      "format": "CSV",
637
      "format": "CSV",
            
638
      "frequency": "Yearly",
638
      "frequency": "Yearly",
            
639
      "gp_no": "",
639
      "gp_no": "",
            
640
      "granularity": "District",
640
      "granularity": "District",
            
641
      "hash": "",
641
      "hash": "",
            
642
      "id": "8ca57277-5df8-4df6-8883-9f6de0c80c93",
642
      "id": "8ca57277-5df8-4df6-8883-9f6de0c80c93",
            
643
      "idp_ready": true,
643
      "idp_ready": true,
            
644
      "last_modified": "2024-11-20T12:38:23.105487",
644
      "last_modified": "2024-11-20T12:38:23.105487",
            
645
      "lgd_mapping": "yes",
645
      "lgd_mapping": "yes",
            
646
      "metadata_modified": "2024-11-20T12:38:31.799219",
646
      "metadata_modified": "2024-11-20T12:38:31.799219",
            
647
      "methodology": "The dataset is collected by the National Crime 
647
      "methodology": "The dataset is collected by the National Crime 
            
648
Records Bureau (NCRB) from state and district police departments 
648
Records Bureau (NCRB) from state and district police departments 
            
649
across India. The data is collated based on First Information Reports 
649
across India. The data is collated based on First Information Reports 
            
650
(FIR) filed in police stations. Each entry represents a crime 
650
(FIR) filed in police stations. Each entry represents a crime 
            
651
categorized under specific sections of the IPC or other related acts 
651
categorized under specific sections of the IPC or other related acts 
            
652
and is further broken down by state, district, and year.",
652
and is further broken down by state, district, and year.",
            
653
      "mimetype": "text/csv",
653
      "mimetype": "text/csv",
            
654
      "mimetype_inner": null,
654
      "mimetype_inner": null,
            
655
      "name": "Districtwise Crime Against STs 2017 onwards",
655
      "name": "Districtwise Crime Against STs 2017 onwards",
            
656
      "no_indicators": "38",
656
      "no_indicators": "38",
            
657
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
657
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
658
      "position": 2,
658
      "position": 2,
            
659
      "resource_type": null,
659
      "resource_type": null,
            
660
      "similar_datasets": [],
660
      "similar_datasets": [],
            
661
      "similar_resources": "",
661
      "similar_resources": "",
            
662
      "size": 1167472,
662
      "size": 1167472,
            
663
      "sku": "ncrb-cii_crime_against_st-dt-yr-aaa",
663
      "sku": "ncrb-cii_crime_against_st-dt-yr-aaa",
            
664
      "state": "active",
664
      "state": "active",
            
665
      "states_uts_no": "36",
665
      "states_uts_no": "36",
            
666
      "tags": [
666
      "tags": [
            
667
        "Crime Data",
667
        "Crime Data",
            
668
        "Scheduled Tribes",
668
        "Scheduled Tribes",
            
669
        "NCRB",
669
        "NCRB",
            
670
        "IPC",
670
        "IPC",
            
671
        "Crime Trends",
671
        "Crime Trends",
            
672
        "Prevention of Atrocities Act",
672
        "Prevention of Atrocities Act",
            
673
        "Protection of Civil Rights Act"
673
        "Protection of Civil Rights Act"
            
674
      ],
674
      ],
            
675
      "tehsil_no": "",
675
      "tehsil_no": "",
            
676
      "url": 
676
      "url": 
            
677
f6de0c80c93/download/districtwise-crime-against-sts-2017-onwards.csv",
677
f6de0c80c93/download/districtwise-crime-against-sts-2017-onwards.csv",
            
678
      "url_type": "upload",
678
      "url_type": "upload",
            
679
      "years_covered": "2017-2022"
679
      "years_covered": "2017-2022"
            
680
    },
680
    },
            
681
    {
681
    {
            
682
      "additional_info": "nan",
682
      "additional_info": "nan",
            
683
      "cache_last_updated": null,
683
      "cache_last_updated": null,
            
684
      "cache_url": null,
684
      "cache_url": null,
            
685
      "created": "2024-09-04T11:10:19.393577",
685
      "created": "2024-09-04T11:10:19.393577",
            
686
      "data_extraction_page": 
686
      "data_extraction_page": 
            
687
"https://ncrb.gov.in/crime-in-india.html",
687
"https://ncrb.gov.in/crime-in-india.html",
            
688
      "data_insights": "Data Insights that can be drawn:Yearly trends 
688
      "data_insights": "Data Insights that can be drawn:Yearly trends 
            
689
of crimes against Scheduled Castes.Geographical distribution: States 
689
of crimes against Scheduled Castes.Geographical distribution: States 
            
690
and districts with high or low incidents of specific crimes.Nature of 
690
and districts with high or low incidents of specific crimes.Nature of 
            
691
crimes: Identifying which types of crimes are more 
691
crimes: Identifying which types of crimes are more 
            
692
frequent.Comparative analysis of crime categories.Analysis of crimes 
692
frequent.Comparative analysis of crime categories.Analysis of crimes 
            
693
specific to women and children within the SC community.Insight into 
693
specific to women and children within the SC community.Insight into 
            
694
the effectiveness of specific acts like SC/ST (Prevention of 
694
the effectiveness of specific acts like SC/ST (Prevention of 
            
695
Atrocities) Act and Protection of Civil Rights Act, 1955.Correlations, 
695
Atrocities) Act and Protection of Civil Rights Act, 1955.Correlations, 
            
696
if any, between different types of crimes.",
696
if any, between different types of crimes.",
            
697
      "data_last_updated": "2024-07-01 00:00:00",
697
      "data_last_updated": "2024-07-01 00:00:00",
            
698
      "data_retreival_date": "2024-08-01 00:00:00",
698
      "data_retreival_date": "2024-08-01 00:00:00",
            
699
      "datastore_active": true,
699
      "datastore_active": true,
            
700
      "description": "This dataset pertains to crimes committed 
700
      "description": "This dataset pertains to crimes committed 
            
701
against Scheduled Castes (SC) in India. It provides detailed data by 
701
against Scheduled Castes (SC) in India. It provides detailed data by 
            
702
year, state, and district level, further categorized by various crime 
702
year, state, and district level, further categorized by various crime 
            
703
types defined under different sections of the Indian Penal Code (IPC) 
703
types defined under different sections of the Indian Penal Code (IPC) 
            
704
and other relevant acts. It serves as a comprehensive repository for 
704
and other relevant acts. It serves as a comprehensive repository for 
            
705
understanding the nature, frequency, and geographical distribution of 
705
understanding the nature, frequency, and geographical distribution of 
            
706
such crimes.",
706
such crimes.",
            
707
      "district_no": "680",
707
      "district_no": "680",
            
708
      "format": "CSV",
708
      "format": "CSV",
            
709
      "frequency": "Yearly",
709
      "frequency": "Yearly",
            
710
      "gp_no": "",
710
      "gp_no": "",
            
711
      "granularity": "District",
711
      "granularity": "District",
            
712
      "hash": "",
712
      "hash": "",
            
713
      "id": "fcc93210-fc71-42b5-b06b-fc2548a8e6e4",
713
      "id": "fcc93210-fc71-42b5-b06b-fc2548a8e6e4",
            
714
      "idp_ready": true,
714
      "idp_ready": true,
            
715
      "last_modified": "2024-09-04T11:10:19.373990",
715
      "last_modified": "2024-09-04T11:10:19.373990",
            
716
      "lgd_mapping": "yes",
716
      "lgd_mapping": "yes",
            
717
      "metadata_modified": "2024-09-04T11:11:17.966102",
717
      "metadata_modified": "2024-09-04T11:11:17.966102",
            
718
      "methodology": "The data is sourced from the National Crime 
718
      "methodology": "The data is sourced from the National Crime 
            
719
Records Bureau (NCRB) of India, a reliable government agency 
719
Records Bureau (NCRB) of India, a reliable government agency 
            
720
responsible for collecting and analyzing crime data in the country. 
720
responsible for collecting and analyzing crime data in the country. 
            
721
The dataset is likely compiled based on the records provided by 
721
The dataset is likely compiled based on the records provided by 
            
722
various police stations and other law enforcement agencies across 
722
various police stations and other law enforcement agencies across 
            
723
Indian states and territories.",
723
Indian states and territories.",
            
724
      "mimetype": null,
724
      "mimetype": null,
            
725
      "mimetype_inner": null,
725
      "mimetype_inner": null,
            
726
      "name": "Crimes Against SC 2016",
726
      "name": "Crimes Against SC 2016",
            
727
      "no_indicators": "15",
727
      "no_indicators": "15",
            
728
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
728
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
729
      "position": 3,
729
      "position": 3,
            
730
      "resource_type": null,
730
      "resource_type": null,
            
731
      "similar_resources": "",
731
      "similar_resources": "",
            
732
      "size": 98227,
732
      "size": 98227,
            
733
      "sku": "ncrb-cii_crime_against_sc-dt-yr-prv",
733
      "sku": "ncrb-cii_crime_against_sc-dt-yr-prv",
            
734
      "state": "active",
734
      "state": "active",
            
735
      "states_uts_no": "35",
735
      "states_uts_no": "35",
            
736
      "tehsil_no": "",
736
      "tehsil_no": "",
            
737
      "url": 
737
      "url": 
            
738
3210-fc71-42b5-b06b-fc2548a8e6e4/download/crimes-against-sc-2016.csv",
738
3210-fc71-42b5-b06b-fc2548a8e6e4/download/crimes-against-sc-2016.csv",
            
739
      "url_type": "upload",
739
      "url_type": "upload",
            
740
      "years_covered": "2016"
740
      "years_covered": "2016"
            
741
    },
741
    },
            
742
    {
742
    {
            
743
      "additional_info": "nan",
743
      "additional_info": "nan",
            
744
      "cache_last_updated": null,
744
      "cache_last_updated": null,
            
745
      "cache_url": null,
745
      "cache_url": null,
            
746
      "created": "2024-09-04T11:10:40.087906",
746
      "created": "2024-09-04T11:10:40.087906",
            
747
      "data_extraction_page": 
747
      "data_extraction_page": 
            
748
"https://ncrb.gov.in/crime-in-india.html",
748
"https://ncrb.gov.in/crime-in-india.html",
            
749
      "data_insights": "Data Insights that can be drawn:\nYearly 
749
      "data_insights": "Data Insights that can be drawn:\nYearly 
            
750
trends of crimes against Scheduled Castes.\nGeographical distribution: 
750
trends of crimes against Scheduled Castes.\nGeographical distribution: 
            
751
States and districts with high or low incidents of specific 
751
States and districts with high or low incidents of specific 
            
752
crimes.\nNature of crimes: Identifying which types of crimes are more 
752
crimes.\nNature of crimes: Identifying which types of crimes are more 
            
753
frequent.\nComparative analysis of crime categories.\nAnalysis of 
753
frequent.\nComparative analysis of crime categories.\nAnalysis of 
            
754
crimes specific to women and children within the SC 
754
crimes specific to women and children within the SC 
            
755
community.\nInsight into the effectiveness of specific acts like SC/ST 
755
community.\nInsight into the effectiveness of specific acts like SC/ST 
            
756
(Prevention of Atrocities) Act and Protection of Civil Rights Act, 
756
(Prevention of Atrocities) Act and Protection of Civil Rights Act, 
            
757
1955.",
757
1955.",
            
758
      "data_last_updated": "01-08-2024",
758
      "data_last_updated": "01-08-2024",
            
759
      "data_retreival_date": "2024-07-01 00:00:00",
759
      "data_retreival_date": "2024-07-01 00:00:00",
            
760
      "datastore_active": true,
760
      "datastore_active": true,
            
761
      "description": "This dataset pertains to crimes committed 
761
      "description": "This dataset pertains to crimes committed 
            
762
against Scheduled Castes (SC) in India. It provides detailed data by 
762
against Scheduled Castes (SC) in India. It provides detailed data by 
            
763
year, state, and district level, further categorized by various crime 
763
year, state, and district level, further categorized by various crime 
            
764
types defined under different sections of the Indian Penal Code (IPC) 
764
types defined under different sections of the Indian Penal Code (IPC) 
            
765
and other relevant acts. It serves as a comprehensive repository for 
765
and other relevant acts. It serves as a comprehensive repository for 
            
766
understanding the nature, frequency, and geographical distribution of 
766
understanding the nature, frequency, and geographical distribution of 
            
767
such crimes.",
767
such crimes.",
            
768
      "district_no": "751",
768
      "district_no": "751",
            
769
      "format": "CSV",
769
      "format": "CSV",
            
770
      "frequency": "Yearly",
770
      "frequency": "Yearly",
            
771
      "gp_no": "",
771
      "gp_no": "",
            
772
      "granularity": "District",
772
      "granularity": "District",
            
773
      "hash": "",
773
      "hash": "",
            
774
      "id": "d0bb2dbb-5aea-4b01-8c7e-6f59377959d4",
774
      "id": "d0bb2dbb-5aea-4b01-8c7e-6f59377959d4",
            
775
      "idp_ready": true,
775
      "idp_ready": true,
            
776
      "last_modified": "2024-11-20T12:38:48.286762",
776
      "last_modified": "2024-11-20T12:38:48.286762",
            
777
      "lgd_mapping": "yes",
777
      "lgd_mapping": "yes",
            
778
      "metadata_modified": "2024-11-20T12:38:58.088857",
778
      "metadata_modified": "2024-11-20T12:38:58.088857",
            
779
      "methodology": "The data is sourced from the National Crime 
779
      "methodology": "The data is sourced from the National Crime 
            
780
Records Bureau (NCRB) of India, a reliable government agency 
780
Records Bureau (NCRB) of India, a reliable government agency 
            
781
responsible for collecting and analyzing crime data in the country. 
781
responsible for collecting and analyzing crime data in the country. 
            
782
The dataset is likely compiled based on the records provided by 
782
The dataset is likely compiled based on the records provided by 
            
783
various police stations and other law enforcement agencies across 
783
various police stations and other law enforcement agencies across 
            
784
Indian states and territories.",
784
Indian states and territories.",
            
785
      "mimetype": "text/csv",
785
      "mimetype": "text/csv",
            
786
      "mimetype_inner": null,
786
      "mimetype_inner": null,
            
787
      "name": "Districtwise Crimes Against SC 2017 onwards",
787
      "name": "Districtwise Crimes Against SC 2017 onwards",
            
788
      "no_indicators": "38",
788
      "no_indicators": "38",
            
789
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
789
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
790
      "position": 4,
790
      "position": 4,
            
791
      "resource_type": null,
791
      "resource_type": null,
            
792
      "similar_datasets": [],
792
      "similar_datasets": [],
            
793
      "similar_resources": "",
793
      "similar_resources": "",
            
794
      "size": 1138241,
794
      "size": 1138241,
            
795
      "sku": "ncrb-cii_crime_against_sc-dt-yr-aaa",
795
      "sku": "ncrb-cii_crime_against_sc-dt-yr-aaa",
            
796
      "state": "active",
796
      "state": "active",
            
797
      "states_uts_no": "36",
797
      "states_uts_no": "36",
            
798
      "tags": [
798
      "tags": [
            
799
        "Crime Statistics",
799
        "Crime Statistics",
            
800
        "Scheduled Castes",
800
        "Scheduled Castes",
            
801
        "NCRB",
801
        "NCRB",
            
802
        "Indian Penal Code",
802
        "Indian Penal Code",
            
803
        "Gender-based Crimes",
803
        "Gender-based Crimes",
            
804
        "Child Abuse",
804
        "Child Abuse",
            
805
        "Civil Rights"
805
        "Civil Rights"
            
806
      ],
806
      ],
            
807
      "tehsil_no": "",
807
      "tehsil_no": "",
            
808
      "url": 
808
      "url": 
            
809
f59377959d4/download/districtwise-crimes-against-sc-2017-onwards.csv",
809
f59377959d4/download/districtwise-crimes-against-sc-2017-onwards.csv",
            
810
      "url_type": "upload",
810
      "url_type": "upload",
            
811
      "years_covered": "2017-2022"
811
      "years_covered": "2017-2022"
            
812
    },
812
    },
            
813
    {
813
    {
            
814
      "additional_info": "nan",
814
      "additional_info": "nan",
            
815
      "cache_last_updated": null,
815
      "cache_last_updated": null,
            
816
      "cache_url": null,
816
      "cache_url": null,
            
817
      "created": "2024-09-04T11:17:23.851126",
817
      "created": "2024-09-04T11:17:23.851126",
            
818
      "data_extraction_page": 
818
      "data_extraction_page": 
            
819
"https://ncrb.gov.in/crime-in-india.html",
819
"https://ncrb.gov.in/crime-in-india.html",
            
820
      "data_insights": "These are a few insights that can be drawn 
820
      "data_insights": "These are a few insights that can be drawn 
            
821
from the Crimes against Women data:1. Trends Over Years: Analyzing the 
821
from the Crimes against Women data:1. Trends Over Years: Analyzing the 
            
822
data over different years can reveal trends in crime rates against 
822
data over different years can reveal trends in crime rates against 
            
823
women in various districts.2. State-wise and District-wise Comparison: 
823
women in various districts.2. State-wise and District-wise Comparison: 
            
824
Comparing crime rates between states and districts can provide 
824
Comparing crime rates between states and districts can provide 
            
825
insights into regional variations in women's safety.3. Identification 
825
insights into regional variations in women's safety.3. Identification 
            
826
of High-Risk Areas: Identifying districts or states with higher 
826
of High-Risk Areas: Identifying districts or states with higher 
            
827
incidences of specific crimes can help prioritize law enforcement and 
827
incidences of specific crimes can help prioritize law enforcement and 
            
828
support services.4. Categorization of Crimes: The dataset covers a 
828
support services.4. Categorization of Crimes: The dataset covers a 
            
829
wide range of crimes, allowing for an in-depth analysis of different 
829
wide range of crimes, allowing for an in-depth analysis of different 
            
830
types of offenses against women.",
830
types of offenses against women.",
            
831
      "data_last_updated": "2022-07-01 00:00:00",
831
      "data_last_updated": "2022-07-01 00:00:00",
            
832
      "data_retreival_date": "2022-08-01 00:00:00",
832
      "data_retreival_date": "2022-08-01 00:00:00",
            
833
      "datastore_active": true,
833
      "datastore_active": true,
            
834
      "description": "Data on crimes against women in each district 
834
      "description": "Data on crimes against women in each district 
            
835
holds immense significance for lawmaking and policy formulation. It 
835
holds immense significance for lawmaking and policy formulation. It 
            
836
provides a clear understanding of the prevalence, trends, and patterns 
836
provides a clear understanding of the prevalence, trends, and patterns 
            
837
of such crimes, enabling evidence-based decision-making. This data 
837
of such crimes, enabling evidence-based decision-making. This data 
            
838
helps lawmakers identify areas with high incidence rates, facilitating 
838
helps lawmakers identify areas with high incidence rates, facilitating 
            
839
the allocation of resources and intervention strategies where they are 
839
the allocation of resources and intervention strategies where they are 
            
840
needed most. It also aids in evaluating the effectiveness of existing 
840
needed most. It also aids in evaluating the effectiveness of existing 
            
841
legal measures and the need for new legislation. Furthermore, this 
841
legal measures and the need for new legislation. Furthermore, this 
            
842
data raises awareness about the challenges women face, fostering a 
842
data raises awareness about the challenges women face, fostering a 
            
843
societal and legislative commitment to gender equality and women's 
843
societal and legislative commitment to gender equality and women's 
            
844
safety. Ultimately, it plays a pivotal role in shaping laws and 
844
safety. Ultimately, it plays a pivotal role in shaping laws and 
            
845
policies aimed at preventing and addressing crimes against women.",
845
policies aimed at preventing and addressing crimes against women.",
            
846
      "district_no": "684",
846
      "district_no": "684",
            
847
      "format": "CSV",
847
      "format": "CSV",
            
848
      "frequency": "Yearly",
848
      "frequency": "Yearly",
            
849
      "gp_no": "",
849
      "gp_no": "",
            
850
      "granularity": "District",
850
      "granularity": "District",
            
851
      "hash": "",
851
      "hash": "",
            
852
      "id": "0f12840c-47cf-407f-b132-6410a3c331ee",
852
      "id": "0f12840c-47cf-407f-b132-6410a3c331ee",
            
853
      "idp_ready": true,
853
      "idp_ready": true,
            
854
      "last_modified": "2024-09-04T11:17:23.818835",
854
      "last_modified": "2024-09-04T11:17:23.818835",
            
855
      "lgd_mapping": "yes",
855
      "lgd_mapping": "yes",
            
856
      "metadata_modified": "2024-09-04T11:23:42.612754",
856
      "metadata_modified": "2024-09-04T11:23:42.612754",
            
857
      "methodology": "The methodology for collecting data on crimes 
857
      "methodology": "The methodology for collecting data on crimes 
            
858
against women in districts is multifaceted. It begins with law 
858
against women in districts is multifaceted. It begins with law 
            
859
enforcement, where police file reports based on victim statements. 
859
enforcement, where police file reports based on victim statements. 
            
860
Medical examinations are conducted in cases of physical violence, 
860
Medical examinations are conducted in cases of physical violence, 
            
861
providing crucial evidence. Specialized counselors and NGOs offer 
861
providing crucial evidence. Specialized counselors and NGOs offer 
            
862
support and often report incidents. Legal processes track cases, and a 
862
support and often report incidents. Legal processes track cases, and a 
            
863
dedicated database records all data, prioritizing victim privacy. 
863
dedicated database records all data, prioritizing victim privacy. 
            
864
Periodic audits maintain data accuracy. This comprehensive approach 
864
Periodic audits maintain data accuracy. This comprehensive approach 
            
865
ensures the thorough documentation of crimes against women, enabling 
865
ensures the thorough documentation of crimes against women, enabling 
            
866
informed policymaking and targeted interventions for women's safety 
866
informed policymaking and targeted interventions for women's safety 
            
867
and rights.",
867
and rights.",
            
868
      "mimetype": null,
868
      "mimetype": null,
            
869
      "mimetype_inner": null,
869
      "mimetype_inner": null,
            
870
      "name": "Districtwise crime against women 2016",
870
      "name": "Districtwise crime against women 2016",
            
871
      "no_indicators": "25",
871
      "no_indicators": "25",
            
872
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
872
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
873
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873
      "position": 5,
            
874
      "resource_type": null,
874
      "resource_type": null,
            
875
      "similar_resources": "",
875
      "similar_resources": "",
            
876
      "size": 114982,
876
      "size": 114982,
            
877
      "sku": "ncrb-cii_crime_against_women-dt-yr-prv",
877
      "sku": "ncrb-cii_crime_against_women-dt-yr-prv",
            
878
      "state": "active",
878
      "state": "active",
            
879
      "states_uts_no": "36",
879
      "states_uts_no": "36",
            
880
      "tehsil_no": "",
880
      "tehsil_no": "",
            
881
      "url": 
881
      "url": 
            
882
b132-6410a3c331ee/download/districtwise-crime-against-women-2016.csv",
882
b132-6410a3c331ee/download/districtwise-crime-against-women-2016.csv",
            
883
      "url_type": "upload",
883
      "url_type": "upload",
            
884
      "years_covered": "2016"
884
      "years_covered": "2016"
            
885
    },
885
    },
            
886
    {
886
    {
            
887
      "additional_info": "nan",
887
      "additional_info": "nan",
            
888
      "cache_last_updated": null,
888
      "cache_last_updated": null,
            
889
      "cache_url": null,
889
      "cache_url": null,
            
890
      "created": "2024-09-04T11:22:30.008886",
890
      "created": "2024-09-04T11:22:30.008886",
            
891
      "data_extraction_page": 
891
      "data_extraction_page": 
            
892
"https://ncrb.gov.in/crime-in-india.html",
892
"https://ncrb.gov.in/crime-in-india.html",
            
893
      "data_insights": "These are a few insights that can be drawn 
893
      "data_insights": "These are a few insights that can be drawn 
            
894
from the Crimes against Women data:1. Trends Over Years: Analyzing the 
894
from the Crimes against Women data:1. Trends Over Years: Analyzing the 
            
895
data over different years can reveal trends in crime rates against 
895
data over different years can reveal trends in crime rates against 
            
896
women in various districts.2. State-wise and District-wise Comparison: 
896
women in various districts.2. State-wise and District-wise Comparison: 
            
897
Comparing crime rates between states and districts can provide 
897
Comparing crime rates between states and districts can provide 
            
898
insights into regional variations in women's safety.3. Identification 
898
insights into regional variations in women's safety.3. Identification 
            
899
of High-Risk Areas: Identifying districts or states with higher 
899
of High-Risk Areas: Identifying districts or states with higher 
            
900
incidences of specific crimes can help prioritize law enforcement and 
900
incidences of specific crimes can help prioritize law enforcement and 
            
901
support services.4. Categorization of Crimes: The dataset covers a 
901
support services.4. Categorization of Crimes: The dataset covers a 
            
902
wide range of crimes, allowing for an in-depth analysis of different 
902
wide range of crimes, allowing for an in-depth analysis of different 
            
903
types of offenses against women.",
903
types of offenses against women.",
            
904
      "data_last_updated": "2022-08-01 00:00:00",
904
      "data_last_updated": "2022-08-01 00:00:00",
            
905
      "data_retreival_date": "2022-07-01 00:00:00",
905
      "data_retreival_date": "2022-07-01 00:00:00",
            
906
      "datastore_active": true,
906
      "datastore_active": true,
            
907
      "description": "Data on crimes against women in each district 
907
      "description": "Data on crimes against women in each district 
            
908
holds immense significance for lawmaking and policy formulation. It 
908
holds immense significance for lawmaking and policy formulation. It 
            
909
provides a clear understanding of the prevalence, trends, and patterns 
909
provides a clear understanding of the prevalence, trends, and patterns 
            
910
of such crimes, enabling evidence-based decision-making. This data 
910
of such crimes, enabling evidence-based decision-making. This data 
            
911
helps lawmakers identify areas with high incidence rates, facilitating 
911
helps lawmakers identify areas with high incidence rates, facilitating 
            
912
the allocation of resources and intervention strategies where they are 
912
the allocation of resources and intervention strategies where they are 
            
913
needed most. It also aids in evaluating the effectiveness of existing 
913
needed most. It also aids in evaluating the effectiveness of existing 
            
914
legal measures and the need for new legislation. Furthermore, this 
914
legal measures and the need for new legislation. Furthermore, this 
            
915
data raises awareness about the challenges women face, fostering a 
915
data raises awareness about the challenges women face, fostering a 
            
916
societal and legislative commitment to gender equality and women's 
916
societal and legislative commitment to gender equality and women's 
            
917
safety. Ultimately, it plays a pivotal role in shaping laws and 
917
safety. Ultimately, it plays a pivotal role in shaping laws and 
            
918
policies aimed at preventing and addressing crimes against women.",
918
policies aimed at preventing and addressing crimes against women.",
            
919
      "district_no": "751",
919
      "district_no": "751",
            
920
      "format": "CSV",
920
      "format": "CSV",
            
921
      "frequency": "Yearly",
921
      "frequency": "Yearly",
            
922
      "gp_no": "",
922
      "gp_no": "",
            
923
      "granularity": "District",
923
      "granularity": "District",
            
924
      "hash": "",
924
      "hash": "",
            
925
      "id": "c8d3ea7e-4855-45f3-9c26-557419e93b6a",
925
      "id": "c8d3ea7e-4855-45f3-9c26-557419e93b6a",
            
926
      "idp_ready": true,
926
      "idp_ready": true,
            
927
      "last_modified": "2024-09-04T11:22:29.972504",
927
      "last_modified": "2024-09-04T11:22:29.972504",
            
928
      "lgd_mapping": "yes",
928
      "lgd_mapping": "yes",
            
929
      "metadata_modified": "2024-09-04T11:24:14.023302",
929
      "metadata_modified": "2024-09-04T11:24:14.023302",
            
930
      "methodology": "The methodology for collecting data on crimes 
930
      "methodology": "The methodology for collecting data on crimes 
            
931
against women in districts is multifaceted. It begins with law 
931
against women in districts is multifaceted. It begins with law 
            
932
enforcement, where police file reports based on victim statements. 
932
enforcement, where police file reports based on victim statements. 
            
933
Medical examinations are conducted in cases of physical violence, 
933
Medical examinations are conducted in cases of physical violence, 
            
934
providing crucial evidence. Specialized counselors and NGOs offer 
934
providing crucial evidence. Specialized counselors and NGOs offer 
            
935
support and often report incidents. Legal processes track cases, and a 
935
support and often report incidents. Legal processes track cases, and a 
            
936
dedicated database records all data, prioritizing victim privacy. 
936
dedicated database records all data, prioritizing victim privacy. 
            
937
Periodic audits maintain data accuracy. This comprehensive approach 
937
Periodic audits maintain data accuracy. This comprehensive approach 
            
938
ensures the thorough documentation of crimes against women, enabling 
938
ensures the thorough documentation of crimes against women, enabling 
            
939
informed policymaking and targeted interventions for women's safety 
939
informed policymaking and targeted interventions for women's safety 
            
940
and rights.",
940
and rights.",
            
941
      "mimetype": null,
941
      "mimetype": null,
            
942
      "mimetype_inner": null,
942
      "mimetype_inner": null,
            
943
      "name": "Districtwise crime against women 2017 onwards",
943
      "name": "Districtwise crime against women 2017 onwards",
            
944
      "no_indicators": "42",
944
      "no_indicators": "42",
            
945
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
945
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
946
      "position": 6,
946
      "position": 6,
            
947
      "resource_type": null,
947
      "resource_type": null,
            
948
      "similar_resources": "",
948
      "similar_resources": "",
            
949
      "size": 1249595,
949
      "size": 1249595,
            
950
      "sku": "ncrb-cii_crime_against_women-dt-yr-rct",
950
      "sku": "ncrb-cii_crime_against_women-dt-yr-rct",
            
951
      "state": "active",
951
      "state": "active",
            
952
      "states_uts_no": "36",
952
      "states_uts_no": "36",
            
953
      "tehsil_no": "",
953
      "tehsil_no": "",
            
954
      "url": 
954
      "url": 
            
955
419e93b6a/download/districtwise-crime-against-women-2017-onwards.csv",
955
419e93b6a/download/districtwise-crime-against-women-2017-onwards.csv",
            
956
      "url_type": "upload",
956
      "url_type": "upload",
            
957
      "years_covered": "2017-2022"
957
      "years_covered": "2017-2022"
            
958
    },
958
    },
            
959
    {
959
    {
            
960
      "additional_info": "nan",
960
      "additional_info": "nan",
            
961
      "cache_last_updated": null,
961
      "cache_last_updated": null,
            
962
      "cache_url": null,
962
      "cache_url": null,
            
963
      "created": "2024-09-04T11:56:44.468033",
963
      "created": "2024-09-04T11:56:44.468033",
            
964
      "data_extraction_page": 
964
      "data_extraction_page": 
            
965
"https://ncrb.gov.in/crime-in-india.html",
965
"https://ncrb.gov.in/crime-in-india.html",
            
966
      "data_insights": "The insights gleaned from cybercrime data are 
966
      "data_insights": "The insights gleaned from cybercrime data are 
            
967
highly valuable. They help identify patterns and trends in 
967
highly valuable. They help identify patterns and trends in 
            
968
cybercrimes, enabling law enforcement agencies to focus their efforts 
968
cybercrimes, enabling law enforcement agencies to focus their efforts 
            
969
on areas with higher incidence rates. Moreover, this data aids in 
969
on areas with higher incidence rates. Moreover, this data aids in 
            
970
understanding the types of cybercrimes that are most prevalent, such 
970
understanding the types of cybercrimes that are most prevalent, such 
            
971
as phishing, identity theft, or online fraud. Such insights are 
971
as phishing, identity theft, or online fraud. Such insights are 
            
972
crucial for developing effective preventive measures, enhancing 
972
crucial for developing effective preventive measures, enhancing 
            
973
cybersecurity awareness, and strengthening legal frameworks. They also 
973
cybersecurity awareness, and strengthening legal frameworks. They also 
            
974
highlight the need for educational initiatives and resources to 
974
highlight the need for educational initiatives and resources to 
            
975
empower individuals and organizations to protect themselves from cyber 
975
empower individuals and organizations to protect themselves from cyber 
            
976
threats, ultimately contributing to a safer digital environment.",
976
threats, ultimately contributing to a safer digital environment.",
            
977
      "data_last_updated": "01-08-2024",
977
      "data_last_updated": "01-08-2024",
            
978
      "data_retreival_date": "2024-07-01 00:00:00",
978
      "data_retreival_date": "2024-07-01 00:00:00",
            
979
      "datastore_active": true,
979
      "datastore_active": true,
            
980
      "description": "The data for the count of cybercrimes in each 
980
      "description": "The data for the count of cybercrimes in each 
            
981
district is collected from multiple sources, including law enforcement 
981
district is collected from multiple sources, including law enforcement 
            
982
agencies, cybercrime units, and online reporting platforms. These 
982
agencies, cybercrime units, and online reporting platforms. These 
            
983
sources document various cybercrimes, such as hacking, online fraud, 
983
sources document various cybercrimes, such as hacking, online fraud, 
            
984
identity theft, and cyberbullying. The data includes details about the 
984
identity theft, and cyberbullying. The data includes details about the 
            
985
nature of the crime, the location of the incident, the parties 
985
nature of the crime, the location of the incident, the parties 
            
986
involved, and the outcomes of investigations. It is essential for law 
986
involved, and the outcomes of investigations. It is essential for law 
            
987
enforcement, policymakers, and cybersecurity experts to monitor and 
987
enforcement, policymakers, and cybersecurity experts to monitor and 
            
988
analyze this data to develop strategies for preventing and addressing 
988
analyze this data to develop strategies for preventing and addressing 
            
989
cybercrimes effectively. Additionally, public awareness campaigns and 
989
cybercrimes effectively. Additionally, public awareness campaigns and 
            
990
educational programs are often based on these statistics to promote 
990
educational programs are often based on these statistics to promote 
            
991
online safety.",
991
online safety.",
            
992
      "district_no": "752",
992
      "district_no": "752",
            
993
      "format": "CSV",
993
      "format": "CSV",
            
994
      "frequency": "Yearly",
994
      "frequency": "Yearly",
            
995
      "gp_no": "",
995
      "gp_no": "",
            
996
      "granularity": "District",
996
      "granularity": "District",
            
997
      "hash": "",
997
      "hash": "",
            
998
      "id": "2353f85d-372a-4bb2-8617-32775891f39b",
998
      "id": "2353f85d-372a-4bb2-8617-32775891f39b",
            
999
      "idp_ready": true,
999
      "idp_ready": true,
            
1000
      "last_modified": "2024-11-20T12:39:21.135636",
1000
      "last_modified": "2024-11-20T12:39:21.135636",
            
1001
      "lgd_mapping": "yes",
1001
      "lgd_mapping": "yes",
            
1002
      "metadata_modified": "2024-11-20T12:39:30.316885",
1002
      "metadata_modified": "2024-11-20T12:39:30.316885",
            
1003
      "methodology": "The process of generating data for cybercrimes 
1003
      "methodology": "The process of generating data for cybercrimes 
            
1004
in each district is intricate. It starts with incident reporting by 
1004
in each district is intricate. It starts with incident reporting by 
            
1005
local authorities and individuals, followed by data collection and 
1005
local authorities and individuals, followed by data collection and 
            
1006
maintenance by law enforcement agencies. Legal involvement, including 
1006
maintenance by law enforcement agencies. Legal involvement, including 
            
1007
interviews and digital forensics, supplements the data. Each district 
1007
interviews and digital forensics, supplements the data. Each district 
            
1008
maintains its records, and this information is periodically reported 
1008
maintains its records, and this information is periodically reported 
            
1009
to a central agency. Data undergoes classification, analysis, and 
1009
to a central agency. Data undergoes classification, analysis, and 
            
1010
anonymization, shedding light on trends and areas with high cybercrime 
1010
anonymization, shedding light on trends and areas with high cybercrime 
            
1011
rates. Insights guide prevention strategies, awareness campaigns, and 
1011
rates. Insights guide prevention strategies, awareness campaigns, and 
            
1012
legislation. The public's role in reporting and practicing safe online 
1012
legislation. The public's role in reporting and practicing safe online 
            
1013
behavior is emphasized, while resource allocation benefits from 
1013
behavior is emphasized, while resource allocation benefits from 
            
1014
understanding local cybercrime trends.",
1014
understanding local cybercrime trends.",
            
1015
      "mimetype": "text/csv",
1015
      "mimetype": "text/csv",
            
1016
      "mimetype_inner": null,
1016
      "mimetype_inner": null,
            
1017
      "name": "Districtwise Cyber Crimes 2017 onwards",
1017
      "name": "Districtwise Cyber Crimes 2017 onwards",
            
1018
      "no_indicators": "41",
1018
      "no_indicators": "41",
            
1019
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
1019
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
1020
      "position": 7,
1020
      "position": 7,
            
1021
      "resource_type": null,
1021
      "resource_type": null,
            
1022
      "similar_datasets": [],
1022
      "similar_datasets": [],
            
1023
      "similar_resources": "",
1023
      "similar_resources": "",
            
1024
      "size": 1203753,
1024
      "size": 1203753,
            
1025
      "sku": "ncrb-cii_cyber_crimes-dt-yr-aaa",
1025
      "sku": "ncrb-cii_cyber_crimes-dt-yr-aaa",
            
1026
      "state": "active",
1026
      "state": "active",
            
1027
      "states_uts_no": "36",
1027
      "states_uts_no": "36",
            
1028
      "tags": [
1028
      "tags": [
            
1029
        "Cyber crimes",
1029
        "Cyber crimes",
            
1030
        "identity theft",
1030
        "identity theft",
            
1031
        "cyber terrorism",
1031
        "cyber terrorism",
            
1032
        "gambling",
1032
        "gambling",
            
1033
        "frogery",
1033
        "frogery",
            
1034
        "fraud"
1034
        "fraud"
            
1035
      ],
1035
      ],
            
1036
      "tehsil_no": "",
1036
      "tehsil_no": "",
            
1037
      "url": 
1037
      "url": 
            
1038
617-32775891f39b/download/districtwise-cyber-crimes-2017-onwards.csv",
1038
617-32775891f39b/download/districtwise-cyber-crimes-2017-onwards.csv",
            
1039
      "url_type": "upload",
1039
      "url_type": "upload",
            
1040
      "years_covered": "2017-2022"
1040
      "years_covered": "2017-2022"
            
1041
    },
1041
    },
            
1042
    {
1042
    {
            
1043
      "additional_info": "nan",
1043
      "additional_info": "nan",
            
1044
      "cache_last_updated": null,
1044
      "cache_last_updated": null,
            
1045
      "cache_url": null,
1045
      "cache_url": null,
            
1046
      "created": "2024-09-04T12:01:40.694431",
1046
      "created": "2024-09-04T12:01:40.694431",
            
1047
      "data_extraction_page": 
1047
      "data_extraction_page": 
            
1048
"https://ncrb.gov.in/crime-in-india.html",
1048
"https://ncrb.gov.in/crime-in-india.html",
            
1049
      "data_insights": "Analyzing the count of IPC (Indian Penal Code) 
1049
      "data_insights": "Analyzing the count of IPC (Indian Penal Code) 
            
1050
crimes in each district provides valuable insights into the law and 
1050
crimes in each district provides valuable insights into the law and 
            
1051
order situation. Identifying districts with the highest crime rates 
1051
order situation. Identifying districts with the highest crime rates 
            
1052
allows law enforcement agencies to allocate resources effectively to 
1052
allows law enforcement agencies to allocate resources effectively to 
            
1053
address security challenges in those areas. Examining the data over 
1053
address security challenges in those areas. Examining the data over 
            
1054
time can reveal whether crime rates are increasing, decreasing, or 
1054
time can reveal whether crime rates are increasing, decreasing, or 
            
1055
remaining stable in specific districts. This trend analysis helps in 
1055
remaining stable in specific districts. This trend analysis helps in 
            
1056
understanding the effectiveness of crime prevention efforts. So, the 
1056
understanding the effectiveness of crime prevention efforts. So, the 
            
1057
count of IPC crimes in each district provides a wealth of insights 
1057
count of IPC crimes in each district provides a wealth of insights 
            
1058
that inform law enforcement, policymaking, and community engagement 
1058
that inform law enforcement, policymaking, and community engagement 
            
1059
efforts. It plays a crucial role in maintaining public safety and 
1059
efforts. It plays a crucial role in maintaining public safety and 
            
1060
ensuring effective law and order across regions.",
1060
ensuring effective law and order across regions.",
            
1061
      "data_last_updated": "2024-08-01 00:00:00",
1061
      "data_last_updated": "2024-08-01 00:00:00",
            
1062
      "data_retreival_date": "2024-07-01 00:00:00",
1062
      "data_retreival_date": "2024-07-01 00:00:00",
            
1063
      "datastore_active": true,
1063
      "datastore_active": true,
            
1064
      "description": "The data of IPC (Indian Penal Code) crimes in 
1064
      "description": "The data of IPC (Indian Penal Code) crimes in 
            
1065
each district is a crucial aspect of understanding a region's law and 
1065
each district is a crucial aspect of understanding a region's law and 
            
1066
order situation. This data provides valuable insights into the 
1066
order situation. This data provides valuable insights into the 
            
1067
prevalence and nature of criminal activities across districts. Data on 
1067
prevalence and nature of criminal activities across districts. Data on 
            
1068
IPC crimes in each district is a powerful tool for maintaining law and 
1068
IPC crimes in each district is a powerful tool for maintaining law and 
            
1069
order, devising crime prevention strategies, and ensuring the safety 
1069
order, devising crime prevention strategies, and ensuring the safety 
            
1070
and security of citizens. It serves as the foundation for 
1070
and security of citizens. It serves as the foundation for 
            
1071
evidence-based policymaking and targeted law enforcement efforts.",
1071
evidence-based policymaking and targeted law enforcement efforts.",
            
1072
      "district_no": "684",
1072
      "district_no": "684",
            
1073
      "format": "CSV",
1073
      "format": "CSV",
            
1074
      "frequency": "Yearly",
1074
      "frequency": "Yearly",
            
1075
      "gp_no": "",
1075
      "gp_no": "",
            
1076
      "granularity": "District",
1076
      "granularity": "District",
            
1077
      "hash": "",
1077
      "hash": "",
            
1078
      "id": "7d5e2cc6-a704-4248-aa44-13d7186f847c",
1078
      "id": "7d5e2cc6-a704-4248-aa44-13d7186f847c",
            
1079
      "idp_ready": true,
1079
      "idp_ready": true,
            
1080
      "last_modified": "2024-09-04T12:01:40.654455",
1080
      "last_modified": "2024-09-04T12:01:40.654455",
            
1081
      "lgd_mapping": "yes",
1081
      "lgd_mapping": "yes",
            
1082
      "metadata_modified": "2024-09-05T04:27:21.431963",
1082
      "metadata_modified": "2024-09-05T04:27:21.431963",
            
1083
      "methodology": "The methodology for collecting data on IPC 
1083
      "methodology": "The methodology for collecting data on IPC 
            
1084
(Indian Penal Code) crimes in districts is meticulous and systematic. 
1084
(Indian Penal Code) crimes in districts is meticulous and systematic. 
            
1085
It begins with reports from various sources, which law enforcement 
1085
It begins with reports from various sources, which law enforcement 
            
1086
agencies receive and use to register FIRs (First Information Reports). 
1086
agencies receive and use to register FIRs (First Information Reports). 
            
1087
Crimes are then categorized by relevant IPC sections and carefully 
1087
Crimes are then categorized by relevant IPC sections and carefully 
            
1088
documented. Trained personnel input this information into a central 
1088
documented. Trained personnel input this information into a central 
            
1089
database, subjecting it to thorough quality control and privacy 
1089
database, subjecting it to thorough quality control and privacy 
            
1090
safeguards. The data is shared with government agencies and the public 
1090
safeguards. The data is shared with government agencies and the public 
            
1091
for research purposes, aiding law enforcement, resource allocation, 
1091
for research purposes, aiding law enforcement, resource allocation, 
            
1092
and crime prevention. Regular reviews and technology integration 
1092
and crime prevention. Regular reviews and technology integration 
            
1093
enhance the effectiveness of this methodology, ensuring accurate and 
1093
enhance the effectiveness of this methodology, ensuring accurate and 
            
1094
privacy-compliant crime data collection and analysis.",
1094
privacy-compliant crime data collection and analysis.",
            
1095
      "mimetype": null,
1095
      "mimetype": null,
            
1096
      "mimetype_inner": null,
1096
      "mimetype_inner": null,
            
1097
      "name": "Districtwise IPC crimes 2016",
1097
      "name": "Districtwise IPC crimes 2016",
            
1098
      "no_indicators": "34",
1098
      "no_indicators": "34",
            
1099
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
1099
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
1100
      "position": 8,
1100
      "position": 8,
            
1101
      "resource_type": null,
1101
      "resource_type": null,
            
1102
      "similar_resources": "",
1102
      "similar_resources": "",
            
1103
      "size": 177260,
1103
      "size": 177260,
            
1104
      "sku": "ncrb-cii_ipc_crimes-dt-yr-prv",
1104
      "sku": "ncrb-cii_ipc_crimes-dt-yr-prv",
            
1105
      "state": "active",
1105
      "state": "active",
            
1106
      "states_uts_no": "35",
1106
      "states_uts_no": "35",
            
1107
      "tehsil_no": "",
1107
      "tehsil_no": "",
            
1108
      "url": 
1108
      "url": 
            
1109
704-4248-aa44-13d7186f847c/download/districtwise-ipc-crimes-2016.csv",
1109
704-4248-aa44-13d7186f847c/download/districtwise-ipc-crimes-2016.csv",
            
1110
      "url_type": "upload",
1110
      "url_type": "upload",
            
1111
      "years_covered": "2016"
1111
      "years_covered": "2016"
            
1112
    },
1112
    },
            
1113
    {
1113
    {
            
1114
      "additional_info": "nan",
1114
      "additional_info": "nan",
            
1115
      "cache_last_updated": null,
1115
      "cache_last_updated": null,
            
1116
      "cache_url": null,
1116
      "cache_url": null,
            
1117
      "created": "2024-09-04T17:56:31.468140",
1117
      "created": "2024-09-04T17:56:31.468140",
            
1118
      "data_extraction_page": 
1118
      "data_extraction_page": 
            
1119
"https://ncrb.gov.in/crime-in-india.html",
1119
"https://ncrb.gov.in/crime-in-india.html",
            
1120
      "data_insights": "Data Insights that can be drawn:Distribution 
1120
      "data_insights": "Data Insights that can be drawn:Distribution 
            
1121
of missing persons based on gender across different states and 
1121
of missing persons based on gender across different states and 
            
1122
districts.Age-wise breakdown of missing persons which can shed light 
1122
districts.Age-wise breakdown of missing persons which can shed light 
            
1123
on the age groups that are most vulnerable.Comparative analysis 
1123
on the age groups that are most vulnerable.Comparative analysis 
            
1124
between states and districts to identify regions with high numbers of 
1124
between states and districts to identify regions with high numbers of 
            
1125
missing persons.Gender-wise distribution in specific age groups to 
1125
missing persons.Gender-wise distribution in specific age groups to 
            
1126
understand if there's a significant disparity.Analysis of total 
1126
understand if there's a significant disparity.Analysis of total 
            
1127
missing children vs. adults can help in strategizing preventive 
1127
missing children vs. adults can help in strategizing preventive 
            
1128
measures for the vulnerable age groups.",
1128
measures for the vulnerable age groups.",
            
1129
      "data_last_updated": "2024-08-01 00:00:00",
1129
      "data_last_updated": "2024-08-01 00:00:00",
            
1130
      "data_retreival_date": "2024-07-01 00:00:00",
1130
      "data_retreival_date": "2024-07-01 00:00:00",
            
1131
      "datastore_active": true,
1131
      "datastore_active": true,
            
1132
      "description": "The \"Districtwise Missing Persons 2021\" 
1132
      "description": "The \"Districtwise Missing Persons 2021\" 
            
1133
dataset provides comprehensive data regarding individuals who went 
1133
dataset provides comprehensive data regarding individuals who went 
            
1134
missing in different states and districts of India during the year 
1134
missing in different states and districts of India during the year 
            
1135
2021. The dataset segregates the missing persons based on gender 
1135
2021. The dataset segregates the missing persons based on gender 
            
1136
(Male, Female, Transgender) and further categorizes them based on age 
1136
(Male, Female, Transgender) and further categorizes them based on age 
            
1137
groups. This helps in understanding the demographics of missing 
1137
groups. This helps in understanding the demographics of missing 
            
1138
persons on a district and state level for the mentioned year.",
1138
persons on a district and state level for the mentioned year.",
            
1139
      "district_no": "731",
1139
      "district_no": "731",
            
1140
      "format": "CSV",
1140
      "format": "CSV",
            
1141
      "frequency": "Yearly",
1141
      "frequency": "Yearly",
            
1142
      "gp_no": "",
1142
      "gp_no": "",
            
1143
      "granularity": "District",
1143
      "granularity": "District",
            
1144
      "hash": "",
1144
      "hash": "",
            
1145
      "id": "90b83f06-7f08-4bc2-8ffb-4859129476bb",
1145
      "id": "90b83f06-7f08-4bc2-8ffb-4859129476bb",
            
1146
      "idp_ready": true,
1146
      "idp_ready": true,
            
1147
      "last_modified": "2024-09-04T17:56:31.428293",
1147
      "last_modified": "2024-09-04T17:56:31.428293",
            
1148
      "lgd_mapping": "yes",
1148
      "lgd_mapping": "yes",
            
1149
      "metadata_modified": "2024-09-05T04:27:56.155180",
1149
      "metadata_modified": "2024-09-05T04:27:56.155180",
            
1150
      "methodology": "The dataset is sourced from the official website 
1150
      "methodology": "The dataset is sourced from the official website 
            
1151
of the National Crime Records Bureau (NCRB) of India. NCRB collates 
1151
of the National Crime Records Bureau (NCRB) of India. NCRB collates 
            
1152
this data from various state and district police records. It is 
1152
this data from various state and district police records. It is 
            
1153
important to note that the data might be subject to changes based on 
1153
important to note that the data might be subject to changes based on 
            
1154
further verifications and updates from respective state and district 
1154
further verifications and updates from respective state and district 
            
1155
authorities.",
1155
authorities.",
            
1156
      "mimetype": null,
1156
      "mimetype": null,
            
1157
      "mimetype_inner": null,
1157
      "mimetype_inner": null,
            
1158
      "name": "Districtwise Missing Persons 2017-2020",
1158
      "name": "Districtwise Missing Persons 2017-2020",
            
1159
      "no_indicators": "32",
1159
      "no_indicators": "32",
            
1160
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
1160
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
1161
      "position": 9,
1161
      "position": 9,
            
1162
      "resource_type": null,
1162
      "resource_type": null,
            
1163
      "similar_resources": "",
1163
      "similar_resources": "",
            
1164
      "size": 520708,
1164
      "size": 520708,
            
1165
      "sku": "ncrb-cii_missing_persons-dt-yr-prv",
1165
      "sku": "ncrb-cii_missing_persons-dt-yr-prv",
            
1166
      "state": "active",
1166
      "state": "active",
            
1167
      "states_uts_no": "36",
1167
      "states_uts_no": "36",
            
1168
      "tehsil_no": "",
1168
      "tehsil_no": "",
            
1169
      "url": 
1169
      "url": 
            
1170
8ffb-4859129476bb/download/districtwise-missing-persons-20172020.csv",
1170
8ffb-4859129476bb/download/districtwise-missing-persons-20172020.csv",
            
1171
      "url_type": "upload",
1171
      "url_type": "upload",
            
1172
      "years_covered": "2017-2020"
1172
      "years_covered": "2017-2020"
            
1173
    },
1173
    },
            
1174
    {
1174
    {
            
1175
      "additional_info": "nan",
1175
      "additional_info": "nan",
            
1176
      "cache_last_updated": null,
1176
      "cache_last_updated": null,
            
1177
      "cache_url": null,
1177
      "cache_url": null,
            
1178
      "created": "2024-09-04T17:58:14.920260",
1178
      "created": "2024-09-04T17:58:14.920260",
            
1179
      "data_extraction_page": 
1179
      "data_extraction_page": 
            
1180
"https://ncrb.gov.in/crime-in-india.html",
1180
"https://ncrb.gov.in/crime-in-india.html",
            
1181
      "data_insights": "Data Insights that can be drawn:\nDistribution 
1181
      "data_insights": "Data Insights that can be drawn:\nDistribution 
            
1182
of missing persons based on gender across different states and 
1182
of missing persons based on gender across different states and 
            
1183
districts.\nAge-wise breakdown of missing persons which can shed light 
1183
districts.\nAge-wise breakdown of missing persons which can shed light 
            
1184
on the age groups that are most vulnerable.\nComparative analysis 
1184
on the age groups that are most vulnerable.\nComparative analysis 
            
1185
between states and districts to identify regions with high numbers of 
1185
between states and districts to identify regions with high numbers of 
            
1186
missing persons.\nGender-wise distribution in specific age groups to 
1186
missing persons.\nGender-wise distribution in specific age groups to 
            
1187
understand if there's a significant disparity.\nAnalysis of total 
1187
understand if there's a significant disparity.\nAnalysis of total 
            
1188
missing children vs. adults can help in strategizing preventive 
1188
missing children vs. adults can help in strategizing preventive 
            
1189
measures for the vulnerable age groups.",
1189
measures for the vulnerable age groups.",
            
1190
      "data_last_updated": "2024-08-01 00:00:00",
1190
      "data_last_updated": "2024-08-01 00:00:00",
            
1191
      "data_retreival_date": "2024-07-01 00:00:00",
1191
      "data_retreival_date": "2024-07-01 00:00:00",
            
1192
      "datastore_active": true,
1192
      "datastore_active": true,
            
1193
      "description": "The \"Districtwise Missing Persons 2021\" 
1193
      "description": "The \"Districtwise Missing Persons 2021\" 
            
1194
dataset provides comprehensive data regarding individuals who went 
1194
dataset provides comprehensive data regarding individuals who went 
            
1195
missing in different states and districts of India during the year 
1195
missing in different states and districts of India during the year 
            
1196
2021. The dataset segregates the missing persons based on gender 
1196
2021. The dataset segregates the missing persons based on gender 
            
1197
(Male, Female, Transgender) and further categorizes them based on age 
1197
(Male, Female, Transgender) and further categorizes them based on age 
            
1198
groups. This helps in understanding the demographics of missing 
1198
groups. This helps in understanding the demographics of missing 
            
1199
persons on a district and state level for the mentioned year.",
1199
persons on a district and state level for the mentioned year.",
            
1200
      "district_no": "753",
1200
      "district_no": "753",
            
1201
      "format": "CSV",
1201
      "format": "CSV",
            
1202
      "frequency": "Yearly",
1202
      "frequency": "Yearly",
            
1203
      "granularity": "District",
1203
      "granularity": "District",
            
1204
      "hash": "",
1204
      "hash": "",
            
1205
      "id": "25119741-f6c4-4242-b238-bb195c4ae530",
1205
      "id": "25119741-f6c4-4242-b238-bb195c4ae530",
            
1206
      "idp_ready": false,
1206
      "idp_ready": false,
            
1207
      "last_modified": "2024-09-05T04:38:00.515028",
1207
      "last_modified": "2024-09-05T04:38:00.515028",
            
1208
      "lgd_mapping": "yes",
1208
      "lgd_mapping": "yes",
            
1209
      "metadata_modified": "2024-09-05T08:59:05.644056",
1209
      "metadata_modified": "2024-09-05T08:59:05.644056",
            
1210
      "methodology": "The dataset is sourced from the official website 
1210
      "methodology": "The dataset is sourced from the official website 
            
1211
of the National Crime Records Bureau (NCRB) of India. NCRB collates 
1211
of the National Crime Records Bureau (NCRB) of India. NCRB collates 
            
1212
this data from various state and district police records. It is 
1212
this data from various state and district police records. It is 
            
1213
important to note that the data might be subject to changes based on 
1213
important to note that the data might be subject to changes based on 
            
1214
further verifications and updates from respective state and district 
1214
further verifications and updates from respective state and district 
            
1215
authorities.",
1215
authorities.",
            
1216
      "mimetype": "text/csv",
1216
      "mimetype": "text/csv",
            
1217
      "mimetype_inner": null,
1217
      "mimetype_inner": null,
            
1218
      "name": "Districtwise Missing Persons 2021 onwards",
1218
      "name": "Districtwise Missing Persons 2021 onwards",
            
1219
      "no_indicators": "15",
1219
      "no_indicators": "15",
            
1220
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
1220
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
1221
      "position": 10,
1221
      "position": 10,
            
1222
      "resource_type": null,
1222
      "resource_type": null,
            
1223
      "similar_datasets": [],
1223
      "similar_datasets": [],
            
1224
      "size": 231208,
1224
      "size": 231208,
            
1225
      "sku": "ncrb-cii_missing_persons-dt-yr-rct",
1225
      "sku": "ncrb-cii_missing_persons-dt-yr-rct",
            
1226
      "state": "active",
1226
      "state": "active",
            
1227
      "states_uts_no": "36",
1227
      "states_uts_no": "36",
            
1228
      "tags": [
1228
      "tags": [
            
1229
        "Missing Persons",
1229
        "Missing Persons",
            
1230
        "NCRB",
1230
        "NCRB",
            
1231
        "Gender Statistics",
1231
        "Gender Statistics",
            
1232
        "Age Group",
1232
        "Age Group",
            
1233
        "Crime Analysis",
1233
        "Crime Analysis",
            
1234
        "Vulnerable Populations"
1234
        "Vulnerable Populations"
            
1235
      ],
1235
      ],
            
1236
      "url": 
1236
      "url": 
            
1237
-bb195c4ae530/download/districtwise-missing-persons-2021-onwards.csv",
1237
-bb195c4ae530/download/districtwise-missing-persons-2021-onwards.csv",
            
1238
      "url_type": "upload",
1238
      "url_type": "upload",
            
1239
      "years_covered": "2021-2022"
1239
      "years_covered": "2021-2022"
            
1240
    },
1240
    },
            
1241
    {
1241
    {
            
1242
      "additional_info": "nan",
1242
      "additional_info": "nan",
            
1243
      "cache_last_updated": null,
1243
      "cache_last_updated": null,
            
1244
      "cache_url": null,
1244
      "cache_url": null,
            
1245
      "created": "2024-09-04T18:16:19.322278",
1245
      "created": "2024-09-04T18:16:19.322278",
            
1246
      "data_extraction_page": 
1246
      "data_extraction_page": 
            
1247
"https://ncrb.gov.in/crime-in-india.html",
1247
"https://ncrb.gov.in/crime-in-india.html",
            
1248
      "data_insights": "Data Insights that can be drawn:Trends over 
1248
      "data_insights": "Data Insights that can be drawn:Trends over 
            
1249
Time: With data available for multiple years, one can track the trend 
1249
Time: With data available for multiple years, one can track the trend 
            
1250
of specific crimes over time to ascertain if they are increasing or 
1250
of specific crimes over time to ascertain if they are increasing or 
            
1251
decreasing.Geographical Insights: By comparing crime statistics across 
1251
decreasing.Geographical Insights: By comparing crime statistics across 
            
1252
different states and districts, regions with higher instances of 
1252
different states and districts, regions with higher instances of 
            
1253
specific crimes can be identified.Crime Categories: Insight into which 
1253
specific crimes can be identified.Crime Categories: Insight into which 
            
1254
types of crimes are most prevalent among juveniles.Impact of Social 
1254
types of crimes are most prevalent among juveniles.Impact of Social 
            
1255
Initiatives: By correlating with historical social and legislative 
1255
Initiatives: By correlating with historical social and legislative 
            
1256
initiatives, one might gauge their effectiveness in curbing certain 
1256
initiatives, one might gauge their effectiveness in curbing certain 
            
1257
offenses.",
1257
offenses.",
            
1258
      "data_last_updated": "2024-08-01 00:00:00",
1258
      "data_last_updated": "2024-08-01 00:00:00",
            
1259
      "data_retreival_date": "2024-07-01 00:00:00",
1259
      "data_retreival_date": "2024-07-01 00:00:00",
            
1260
      "datastore_active": true,
1260
      "datastore_active": true,
            
1261
      "description": "This dataset \"Crime by Juveniles,\" offers an 
1261
      "description": "This dataset \"Crime by Juveniles,\" offers an 
            
1262
exhaustive overview of various offenses committed by juveniles across 
1262
exhaustive overview of various offenses committed by juveniles across 
            
1263
different states and districts in India. Sourced from the National 
1263
different states and districts in India. Sourced from the National 
            
1264
Crime Records Bureau (NCRB) website, the dataset breaks down numerous 
1264
Crime Records Bureau (NCRB) website, the dataset breaks down numerous 
            
1265
crimes under different sections of the Indian Penal Code (IPC), 
1265
crimes under different sections of the Indian Penal Code (IPC), 
            
1266
ranging from violent crimes such as murder to cybercrimes like 
1266
ranging from violent crimes such as murder to cybercrimes like 
            
1267
circulating false or fake news.",
1267
circulating false or fake news.",
            
1268
      "district_no": "750",
1268
      "district_no": "750",
            
1269
      "format": "CSV",
1269
      "format": "CSV",
            
1270
      "frequency": "Yearly",
1270
      "frequency": "Yearly",
            
1271
      "gp_no": "",
1271
      "gp_no": "",
            
1272
      "granularity": "District",
1272
      "granularity": "District",
            
1273
      "hash": "",
1273
      "hash": "",
            
1274
      "id": "3f158dd4-c75f-429d-8418-f14ab7c720d9",
1274
      "id": "3f158dd4-c75f-429d-8418-f14ab7c720d9",
            
1275
      "idp_ready": true,
1275
      "idp_ready": true,
            
1276
      "last_modified": "2024-09-04T18:16:19.288395",
1276
      "last_modified": "2024-09-04T18:16:19.288395",
            
1277
      "lgd_mapping": "yes",
1277
      "lgd_mapping": "yes",
            
1278
      "metadata_modified": "2024-09-05T04:29:25.016155",
1278
      "metadata_modified": "2024-09-05T04:29:25.016155",
            
1279
      "methodology": "The data is presumably collated by the NCRB from 
1279
      "methodology": "The data is presumably collated by the NCRB from 
            
1280
reports sent by various police stations across states and districts in 
1280
reports sent by various police stations across states and districts in 
            
1281
India. The crimes are categorized based on sections of the Indian 
1281
India. The crimes are categorized based on sections of the Indian 
            
1282
Penal Code (IPC) that they correspond to.",
1282
Penal Code (IPC) that they correspond to.",
            
1283
      "mimetype": null,
1283
      "mimetype": null,
            
1284
      "mimetype_inner": null,
1284
      "mimetype_inner": null,
            
1285
      "name": "IPC Crime by Juveniles",
1285
      "name": "IPC Crime by Juveniles",
            
1286
      "no_indicators": "123",
1286
      "no_indicators": "123",
            
1287
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
1287
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
1288
      "position": 11,
1288
      "position": 11,
            
1289
      "resource_type": null,
1289
      "resource_type": null,
            
1290
      "similar_resources": "",
1290
      "similar_resources": "",
            
1291
      "size": 2817777,
1291
      "size": 2817777,
            
1292
      "sku": "ncrb-cii_ipc_crime_by_juveniles-dt-yr-aaa",
1292
      "sku": "ncrb-cii_ipc_crime_by_juveniles-dt-yr-aaa",
            
1293
      "state": "active",
1293
      "state": "active",
            
1294
      "states_uts_no": "36",
1294
      "states_uts_no": "36",
            
1295
      "tehsil_no": "",
1295
      "tehsil_no": "",
            
1296
      "url": 
1296
      "url": 
            
1297
3f158dd4-c75f-429d-8418-f14ab7c720d9/download/crime-by-juveniles.csv",
1297
3f158dd4-c75f-429d-8418-f14ab7c720d9/download/crime-by-juveniles.csv",
            
1298
      "url_type": "upload",
1298
      "url_type": "upload",
            
1299
      "years_covered": "2017-2022"
1299
      "years_covered": "2017-2022"
            
1300
    },
1300
    },
            
1301
    {
1301
    {
            
1302
      "additional_info": "nan",
1302
      "additional_info": "nan",
            
1303
      "cache_last_updated": null,
1303
      "cache_last_updated": null,
            
1304
      "cache_url": null,
1304
      "cache_url": null,
            
1305
      "created": "2024-09-04T18:46:07.958935",
1305
      "created": "2024-09-04T18:46:07.958935",
            
1306
      "data_extraction_page": 
1306
      "data_extraction_page": 
            
1307
"https://ncrb.gov.in/crime-in-india.html",
1307
"https://ncrb.gov.in/crime-in-india.html",
            
1308
      "data_insights": "Analyzing the \"SLL Crime by Juveniles\" 
1308
      "data_insights": "Analyzing the \"SLL Crime by Juveniles\" 
            
1309
dataset can yield several valuable insights:Crime Trends Over Time: 
1309
dataset can yield several valuable insights:Crime Trends Over Time: 
            
1310
Identify patterns in juvenile crime rates over different years, which 
1310
Identify patterns in juvenile crime rates over different years, which 
            
1311
can help understand whether certain types of offenses are increasing 
1311
can help understand whether certain types of offenses are increasing 
            
1312
or decreasing.Demographic Analysis: Examine the age and gender 
1312
or decreasing.Demographic Analysis: Examine the age and gender 
            
1313
distribution of juvenile offenders to determine which groups are more 
1313
distribution of juvenile offenders to determine which groups are more 
            
1314
prone to committing specific types of crimes.Geographic Distribution: 
1314
prone to committing specific types of crimes.Geographic Distribution: 
            
1315
If the dataset includes location data, it can highlight regions with 
1315
If the dataset includes location data, it can highlight regions with 
            
1316
higher incidences of juvenile crime, helping target interventions more 
1316
higher incidences of juvenile crime, helping target interventions more 
            
1317
effectively.Common Offenses: Determine the most frequent types of 
1317
effectively.Common Offenses: Determine the most frequent types of 
            
1318
crimes committed under Special and Local Laws, providing insight into 
1318
crimes committed under Special and Local Laws, providing insight into 
            
1319
areas where law enforcement or preventive measures could be 
1319
areas where law enforcement or preventive measures could be 
            
1320
focused.Recidivism Rates: If available, analyze data on repeat 
1320
focused.Recidivism Rates: If available, analyze data on repeat 
            
1321
offenders to assess the effectiveness of juvenile rehabilitation 
1321
offenders to assess the effectiveness of juvenile rehabilitation 
            
1322
programs and the likelihood of re-offending.Impact of Legal Changes: 
1322
programs and the likelihood of re-offending.Impact of Legal Changes: 
            
1323
Evaluate how changes in laws or enforcement strategies have influenced 
1323
Evaluate how changes in laws or enforcement strategies have influenced 
            
1324
juvenile crime rates, offering a basis for policy recommendations.",
1324
juvenile crime rates, offering a basis for policy recommendations.",
            
1325
      "data_last_updated": "2024-08-01 00:00:00",
1325
      "data_last_updated": "2024-08-01 00:00:00",
            
1326
      "data_retreival_date": "2024-07-01 00:00:00",
1326
      "data_retreival_date": "2024-07-01 00:00:00",
            
1327
      "datastore_active": true,
1327
      "datastore_active": true,
            
1328
      "description": "The \"SLL Crime by Juveniles\" dataset typically 
1328
      "description": "The \"SLL Crime by Juveniles\" dataset typically 
            
1329
contains data on crimes committed by juveniles under Special and Local 
1329
contains data on crimes committed by juveniles under Special and Local 
            
1330
Laws (SLL) in a specific region or country. It includes information 
1330
Laws (SLL) in a specific region or country. It includes information 
            
1331
such as the type of crime, the age and gender of the juvenile 
1331
such as the type of crime, the age and gender of the juvenile 
            
1332
offenders, the year of the offense, and the legal outcomes. This 
1332
offenders, the year of the offense, and the legal outcomes. This 
            
1333
dataset is often used to analyze trends in juvenile delinquency, 
1333
dataset is often used to analyze trends in juvenile delinquency, 
            
1334
identify common offenses, and inform policy decisions aimed at 
1334
identify common offenses, and inform policy decisions aimed at 
            
1335
preventing youth crime. It serves as a critical resource for 
1335
preventing youth crime. It serves as a critical resource for 
            
1336
understanding patterns of juvenile behavior and the effectiveness of 
1336
understanding patterns of juvenile behavior and the effectiveness of 
            
1337
legal interventions.",
1337
legal interventions.",
            
1338
      "district_no": "746",
1338
      "district_no": "746",
            
1339
      "format": "CSV",
1339
      "format": "CSV",
            
1340
      "frequency": "Yearly",
1340
      "frequency": "Yearly",
            
1341
      "gp_no": "",
1341
      "gp_no": "",
            
1342
      "granularity": "District",
1342
      "granularity": "District",
            
1343
      "hash": "",
1343
      "hash": "",
            
1344
      "id": "7a57ba6e-d918-4612-9cab-b75d5662287d",
1344
      "id": "7a57ba6e-d918-4612-9cab-b75d5662287d",
            
1345
      "idp_ready": true,
1345
      "idp_ready": true,
            
1346
      "last_modified": "2024-09-04T18:46:07.923093",
1346
      "last_modified": "2024-09-04T18:46:07.923093",
            
1347
      "lgd_mapping": "yes",
1347
      "lgd_mapping": "yes",
            
1348
      "metadata_modified": "2024-09-05T04:29:52.015577",
1348
      "metadata_modified": "2024-09-05T04:29:52.015577",
            
1349
      "methodology": "The data is presumably collated by the NCRB from 
1349
      "methodology": "The data is presumably collated by the NCRB from 
            
1350
reports sent by various police stations across states and districts in 
1350
reports sent by various police stations across states and districts in 
            
1351
India. The crimes are categorized based on sections of the Indian 
1351
India. The crimes are categorized based on sections of the Indian 
            
1352
Penal Code (IPC) that they correspond to.",
1352
Penal Code (IPC) that they correspond to.",
            
1353
      "mimetype": null,
1353
      "mimetype": null,
            
1354
      "mimetype_inner": null,
1354
      "mimetype_inner": null,
            
1355
      "name": "SLL Crime by Juveniles",
1355
      "name": "SLL Crime by Juveniles",
            
1356
      "no_indicators": "72",
1356
      "no_indicators": "72",
            
1357
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
1357
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
1358
      "position": 12,
1358
      "position": 12,
            
1359
      "resource_type": null,
1359
      "resource_type": null,
            
1360
      "similar_resources": "",
1360
      "similar_resources": "",
            
1361
      "size": 1851023,
1361
      "size": 1851023,
            
1362
      "sku": "ncrb-cii_sll_crime_by_juveniles-dt-yr-aaa",
1362
      "sku": "ncrb-cii_sll_crime_by_juveniles-dt-yr-aaa",
            
1363
      "state": "active",
1363
      "state": "active",
            
1364
      "states_uts_no": "36",
1364
      "states_uts_no": "36",
            
1365
      "tehsil_no": "",
1365
      "tehsil_no": "",
            
1366
      "url": 
1366
      "url": 
            
1367
ba6e-d918-4612-9cab-b75d5662287d/download/sll-crime-by-juveniles.csv",
1367
ba6e-d918-4612-9cab-b75d5662287d/download/sll-crime-by-juveniles.csv",
            
1368
      "url_type": "upload",
1368
      "url_type": "upload",
            
1369
      "years_covered": "2017-2022"
1369
      "years_covered": "2017-2022"
            
1370
    },
1370
    },
            
1371
    {
1371
    {
            
1372
      "additional_info": "nan",
1372
      "additional_info": "nan",
            
1373
      "cache_last_updated": null,
1373
      "cache_last_updated": null,
            
1374
      "cache_url": null,
1374
      "cache_url": null,
            
n
1375
      "created": "2024-09-05T04:49:56.239698",
n

            
1376
      "data_extraction_page": 

            
1377
"https://ncrb.gov.in/crime-in-india.html",

            
1378
      "data_insights": "Analyzing the count of IPC (Indian Penal Code) 

            
1379
crimes in each district provides valuable insights into the law and 

            
1380
order situation. Identifying districts with the highest crime rates 

            
1381
allows law enforcement agencies to allocate resources effectively to 

            
1382
address security challenges in those areas. Examining the data over 

            
1383
time can reveal whether crime rates are increasing, decreasing, or 

            
1384
remaining stable in specific districts. This trend analysis helps in 

            
1385
understanding the effectiveness of crime prevention efforts. So, the 

            
1386
count of IPC crimes in each district provides a wealth of insights 

            
1387
that inform law enforcement, policymaking, and community engagement 

            
1388
efforts. It plays a crucial role in maintaining public safety and 

            
1389
ensuring effective law and order across regions.",

            
1390
      "data_last_updated": "01-08-2024",

            
1391
      "data_retreival_date": "2024-07-01 00:00:00",

            
1392
      "datastore_active": false,

            
1393
      "description": "The data of IPC (Indian Penal Code) crimes in 

            
1394
each district is a crucial aspect of understanding a region's law and 

            
1395
order situation. This data provides valuable insights into the 

            
1396
prevalence and nature of criminal activities across districts. Data on 

            
1397
IPC crimes in each district is a powerful tool for maintaining law and 

            
1398
order, devising crime prevention strategies, and ensuring the safety 

            
1399
and security of citizens. It serves as the foundation for 

            
1400
evidence-based policymaking and targeted law enforcement efforts.",

            
1401
      "district_no": "749",

            
1402
      "format": "CSV",

            
1403
      "frequency": "Yearly",

            
1404
      "gp_no": "",

            
1405
      "granularity": "District",

            
1406
      "hash": "",

            
1407
      "id": "1c003701-8bfd-4fd5-9884-c7c1951fbbe4",

            
1408
      "idp_ready": true,

            
1409
      "last_modified": "2024-11-20T18:18:02.780749",

            
1410
      "lgd_mapping": "yes",

            
1411
      "metadata_modified": "2024-11-20T18:18:02.826651",

            
1412
      "methodology": "The methodology for collecting data on IPC 

            
1413
(Indian Penal Code) crimes in districts is meticulous and systematic. 

            
1414
It begins with reports from various sources, which law enforcement 

            
1415
agencies receive and use to register FIRs (First Information Reports). 

            
1416
Crimes are then categorized by relevant IPC sections and carefully 

            
1417
documented. Trained personnel input this information into a central 

            
1418
database, subjecting it to thorough quality control and privacy 

            
1419
safeguards. The data is shared with government agencies and the public 

            
1420
for research purposes, aiding law enforcement, resource allocation, 

            
1421
and crime prevention. Regular reviews and technology integration 

            
1422
enhance the effectiveness of this methodology, ensuring accurate and 

            
1423
privacy-compliant crime data collection and analysis.",

            
1424
      "mimetype": "text/csv",

            
1425
      "mimetype_inner": null,

            
1426
      "name": "Districtwise IPC crimes 2017 onwards",

            
1427
      "no_indicators": "117",

            
1428
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",

            
1429
      "position": 13,

            
1430
      "resource_type": null,

            
1431
      "similar_resources": "",

            
1432
      "size": 2977022,

            
1433
      "sku": "ncrb-cii_ipc_crimes-dt-yr-aaa",

            
1434
      "state": "active",

            
1435
      "states_uts_no": "36",

            
1436
      "tehsil_no": "",

            
1437
      "url": 

            
1438
-9884-c7c1951fbbe4/download/districtwise-ipc-crimes-2017-onwards.csv",

            
1439
      "url_type": "upload",

            
1440
      "years_covered": "2017-2022"

            
1441
    },

            
1442
    {

            
1443
      "additional_info": "nan",

            
1444
      "cache_last_updated": null,

            
1445
      "cache_url": null,

            
1446
      "created": "2024-09-05T04:53:27.403074",
1375
      "created": "2024-09-05T04:53:27.403074",
            
1447
      "data_extraction_page": 
1376
      "data_extraction_page": 
            
1448
"https://ncrb.gov.in/crime-in-india.html",
1377
"https://ncrb.gov.in/crime-in-india.html",
            
1449
      "data_insights": "Analyzing the count of Serious and Organized 
1378
      "data_insights": "Analyzing the count of Serious and Organized 
            
1450
Crime Legislation (SLL) crimes in each district provides significant 
1379
Crime Legislation (SLL) crimes in each district provides significant 
            
1451
data insights that can inform legislative decisions and law 
1380
data insights that can inform legislative decisions and law 
            
1452
enforcement strategies. The data allows to pinpoint districts with the 
1381
enforcement strategies. The data allows to pinpoint districts with the 
            
1453
highest counts of SLL crimes. This information is critical for law 
1382
highest counts of SLL crimes. This information is critical for law 
            
1454
enforcement agencies to focus their efforts and resources on areas 
1383
enforcement agencies to focus their efforts and resources on areas 
            
1455
with the greatest need for intervention. This data can guide budget 
1384
with the greatest need for intervention. This data can guide budget 
            
1456
allocation and resource distribution. Over time, tracking changes in 
1385
allocation and resource distribution. Over time, tracking changes in 
            
1457
SLL crime counts can help evaluate the effectiveness of existing laws 
1386
SLL crime counts can help evaluate the effectiveness of existing laws 
            
1458
and policies. A reduction in crime rates may indicate that legislative 
1387
and policies. A reduction in crime rates may indicate that legislative 
            
1459
measures are achieving their intended objectives.",
1388
measures are achieving their intended objectives.",
            
1460
      "data_last_updated": "01-08-2024",
1389
      "data_last_updated": "01-08-2024",
            
1461
      "data_retreival_date": "2024-07-01 00:00:00",
1390
      "data_retreival_date": "2024-07-01 00:00:00",
            
1462
      "datastore_active": true,
1391
      "datastore_active": true,
            
1463
      "description": "Data is about the count of SLL crimes in each 
1392
      "description": "Data is about the count of SLL crimes in each 
            
1464
district provides a foundation for informed lawmaking and effective 
1393
district provides a foundation for informed lawmaking and effective 
            
1465
law enforcement. It guides resource allocation, legislative 
1394
law enforcement. It guides resource allocation, legislative 
            
1466
improvements, community engagement, and collaborative efforts to 
1395
improvements, community engagement, and collaborative efforts to 
            
1467
combat organized crime, ultimately fostering safer and more secure 
1396
combat organized crime, ultimately fostering safer and more secure 
            
1468
communities.",
1397
communities.",
            
1469
      "district_no": "684",
1398
      "district_no": "684",
            
1470
      "format": "CSV",
1399
      "format": "CSV",
            
1471
      "frequency": "Yearly",
1400
      "frequency": "Yearly",
            
1472
      "gp_no": "",
1401
      "gp_no": "",
            
1473
      "granularity": "District",
1402
      "granularity": "District",
            
1474
      "hash": "",
1403
      "hash": "",
            
1475
      "id": "c4561be6-a357-421b-a290-204141722292",
1404
      "id": "c4561be6-a357-421b-a290-204141722292",
            
1476
      "idp_ready": true,
1405
      "idp_ready": true,
            
1477
      "last_modified": "2024-11-20T12:38:04.192548",
1406
      "last_modified": "2024-11-20T12:38:04.192548",
            
1478
      "lgd_mapping": "yes",
1407
      "lgd_mapping": "yes",
            
1479
      "metadata_modified": "2024-11-20T12:38:09.913615",
1408
      "metadata_modified": "2024-11-20T12:38:09.913615",
            
1480
      "methodology": "Collecting data on the count of Serious and 
1409
      "methodology": "Collecting data on the count of Serious and 
            
1481
Organized Crime Legislation (SLL) crimes in each district is a 
1410
Organized Crime Legislation (SLL) crimes in each district is a 
            
1482
critical step in informed lawmaking and effective law enforcement. 
1411
critical step in informed lawmaking and effective law enforcement. 
            
1483
First and foremost, a clear definition of SLL crimes is established by 
1412
First and foremost, a clear definition of SLL crimes is established by 
            
1484
inacting related laws and acts. Law enforcement agencies in each 
1413
inacting related laws and acts. Law enforcement agencies in each 
            
1485
district play a pivotal role in reporting SLL crimes. nce the data is 
1414
district play a pivotal role in reporting SLL crimes. nce the data is 
            
1486
collected, it is submitted to a central database or information 
1415
collected, it is submitted to a central database or information 
            
1487
management system. This database is secure and maintained by the 
1416
management system. This database is secure and maintained by the 
            
1488
relevant authority responsible for collecting and managing crime 
1417
relevant authority responsible for collecting and managing crime 
            
1489
data.",
1418
data.",
            
1490
      "mimetype": "text/csv",
1419
      "mimetype": "text/csv",
            
1491
      "mimetype_inner": null,
1420
      "mimetype_inner": null,
            
1492
      "name": "Districtwise SLL crimes 2016",
1421
      "name": "Districtwise SLL crimes 2016",
            
1493
      "no_indicators": "56",
1422
      "no_indicators": "56",
            
1494
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
1423
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
n
1495
      "position": 14,
n
1424
      "position": 13,
            
1496
      "resource_type": null,
1425
      "resource_type": null,
            
1497
      "similar_datasets": [],
1426
      "similar_datasets": [],
            
1498
      "similar_resources": "",
1427
      "similar_resources": "",
            
1499
      "size": 239108,
1428
      "size": 239108,
            
1500
      "sku": "ncrb-cii_sll_crimes-dt-yr-prv",
1429
      "sku": "ncrb-cii_sll_crimes-dt-yr-prv",
            
1501
      "state": "active",
1430
      "state": "active",
            
1502
      "states_uts_no": "36",
1431
      "states_uts_no": "36",
            
1503
      "tags": [
1432
      "tags": [
            
1504
        "SLL crimes",
1433
        "SLL crimes",
            
1505
        "districtwise total crimes",
1434
        "districtwise total crimes",
            
1506
        "other SLL crimes"
1435
        "other SLL crimes"
            
1507
      ],
1436
      ],
            
1508
      "tehsil_no": "",
1437
      "tehsil_no": "",
            
1509
      "url": 
1438
      "url": 
            
1510
357-421b-a290-204141722292/download/districtwise-sll-crimes-2016.csv",
1439
357-421b-a290-204141722292/download/districtwise-sll-crimes-2016.csv",
            
1511
      "url_type": "upload",
1440
      "url_type": "upload",
            
1512
      "years_covered": "2016.0"
1441
      "years_covered": "2016.0"
            
1513
    },
1442
    },
            
1514
    {
1443
    {
            
1515
      "additional_info": "nan",
1444
      "additional_info": "nan",
            
1516
      "cache_last_updated": null,
1445
      "cache_last_updated": null,
            
1517
      "cache_url": null,
1446
      "cache_url": null,
            
1518
      "created": "2024-09-20T08:04:23.984563",
1447
      "created": "2024-09-20T08:04:23.984563",
            
1519
      "data_extraction_page": 
1448
      "data_extraction_page": 
            
1520
"https://ncrb.gov.in/crime-in-india.html",
1449
"https://ncrb.gov.in/crime-in-india.html",
            
1521
      "data_insights": "These are a few insights that can be drawn 
1450
      "data_insights": "These are a few insights that can be drawn 
            
1522
from the Crimes against children data:\nTrend Analysis: Examining 
1451
from the Crimes against children data:\nTrend Analysis: Examining 
            
1523
trends over time can reveal whether child crime rates are increasing 
1452
trends over time can reveal whether child crime rates are increasing 
            
1524
or decreasing. Identifying spikes in certain periods can prompt 
1453
or decreasing. Identifying spikes in certain periods can prompt 
            
1525
targeted interventions.\nGeographical Patterns: Analyzing data by 
1454
targeted interventions.\nGeographical Patterns: Analyzing data by 
            
1526
district helps identify regions with higher child crime rates. This 
1455
district helps identify regions with higher child crime rates. This 
            
1527
information can guide resource allocation and intervention 
1456
information can guide resource allocation and intervention 
            
1528
strategies.\nCrime Types: Understanding the types of crimes committed 
1457
strategies.\nCrime Types: Understanding the types of crimes committed 
            
1529
against children, such as abuse, abduction, or child labor, helps 
1458
against children, such as abuse, abduction, or child labor, helps 
            
1530
tailor prevention and support programs.\nPreventive Measures: These 
1459
tailor prevention and support programs.\nPreventive Measures: These 
            
1531
insights support the development of preventive measures, educational 
1460
insights support the development of preventive measures, educational 
            
1532
campaigns, and support services to reduce crimes against children.",
1461
campaigns, and support services to reduce crimes against children.",
            
1533
      "data_last_updated": "01-08-2024",
1462
      "data_last_updated": "01-08-2024",
            
1534
      "data_retreival_date": "2024-07-01 00:00:00",
1463
      "data_retreival_date": "2024-07-01 00:00:00",
            
1535
      "datastore_active": true,
1464
      "datastore_active": true,
            
1536
      "description": "Data on crimes against children in each district 
1465
      "description": "Data on crimes against children in each district 
            
1537
is a pivotal resource. It offers valuable insights into child safety, 
1466
is a pivotal resource. It offers valuable insights into child safety, 
            
1538
aiding policymakers, law enforcement, and communities. By identifying 
1467
aiding policymakers, law enforcement, and communities. By identifying 
            
1539
crime trends and hotspots, resources can be directed effectively. It 
1468
crime trends and hotspots, resources can be directed effectively. It 
            
1540
enables the assessment of child protection measures, highlighting 
1469
enables the assessment of child protection measures, highlighting 
            
1541
areas for improvement. Communities and organizations can use this data 
1470
areas for improvement. Communities and organizations can use this data 
            
1542
for advocacy and awareness campaigns, fostering a safer environment. 
1471
for advocacy and awareness campaigns, fostering a safer environment. 
            
1543
In essence, it empowers evidence-based policy formulation to ensure 
1472
In essence, it empowers evidence-based policy formulation to ensure 
            
1544
the welfare of our nation's youth, reflecting its immense significance 
1473
the welfare of our nation's youth, reflecting its immense significance 
            
1545
in child protection and welfare efforts.",
1474
in child protection and welfare efforts.",
            
1546
      "district_no": "751",
1475
      "district_no": "751",
            
1547
      "format": "CSV",
1476
      "format": "CSV",
            
1548
      "frequency": "Yearly",
1477
      "frequency": "Yearly",
            
1549
      "gp_no": "",
1478
      "gp_no": "",
            
1550
      "granularity": "District",
1479
      "granularity": "District",
            
1551
      "hash": "",
1480
      "hash": "",
            
1552
      "id": "4757b1c6-d95d-4276-ad37-78afa3c46f95",
1481
      "id": "4757b1c6-d95d-4276-ad37-78afa3c46f95",
            
1553
      "idp_ready": true,
1482
      "idp_ready": true,
            
1554
      "indicators": [],
1483
      "indicators": [],
            
1555
      "last_modified": "2024-11-20T12:40:16.913562",
1484
      "last_modified": "2024-11-20T12:40:16.913562",
            
1556
      "lgd_mapping": "yes",
1485
      "lgd_mapping": "yes",
            
1557
      "metadata_modified": "2024-11-20T12:40:26.763698",
1486
      "metadata_modified": "2024-11-20T12:40:26.763698",
            
1558
      "methodology": "Data on crimes against children in each district 
1487
      "methodology": "Data on crimes against children in each district 
            
1559
is gathered through a collaborative effort. Law enforcement agencies, 
1488
is gathered through a collaborative effort. Law enforcement agencies, 
            
1560
including local police, play a central role by documenting reported 
1489
including local police, play a central role by documenting reported 
            
1561
incidents. Child welfare organizations, NGOs, and government bodies 
1490
incidents. Child welfare organizations, NGOs, and government bodies 
            
1562
also contribute data through surveys and studies. Medical institutions 
1491
also contribute data through surveys and studies. Medical institutions 
            
1563
report cases when providing care to affected children. Collaboration 
1492
report cases when providing care to affected children. Collaboration 
            
1564
among these stakeholders is vital for comprehensive data. Legal 
1493
among these stakeholders is vital for comprehensive data. Legal 
            
1565
frameworks and protocols guide data collection, and audits ensure 
1494
frameworks and protocols guide data collection, and audits ensure 
            
1566
accuracy. Overall, this collaborative approach helps assess child 
1495
accuracy. Overall, this collaborative approach helps assess child 
            
1567
protection needs and develop effective strategies at the district 
1496
protection needs and develop effective strategies at the district 
            
1568
level.",
1497
level.",
            
1569
      "mimetype": "text/csv",
1498
      "mimetype": "text/csv",
            
1570
      "mimetype_inner": null,
1499
      "mimetype_inner": null,
            
1571
      "name": "Districtwise Crime Against Children 2017 onwards",
1500
      "name": "Districtwise Crime Against Children 2017 onwards",
            
1572
      "no_indicators": "51",
1501
      "no_indicators": "51",
            
1573
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
1502
      "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            
t
1574
      "position": 15,
t
1503
      "position": 14,
            
1575
      "resource_type": null,
1504
      "resource_type": null,
            
1576
      "similar_datasets": [],
1505
      "similar_datasets": [],
            
1577
      "similar_resources": "",
1506
      "similar_resources": "",
            
1578
      "size": 1425878,
1507
      "size": 1425878,
            
1579
      "sku": "ncrb-cii_crime_against_children-dt-yr-aaa",
1508
      "sku": "ncrb-cii_crime_against_children-dt-yr-aaa",
            
1580
      "state": "active",
1509
      "state": "active",
            
1581
      "states_uts_no": "36",
1510
      "states_uts_no": "36",
            
1582
      "tags": [
1511
      "tags": [
            
1583
        "Crimes against children",
1512
        "Crimes against children",
            
1584
        "murder",
1513
        "murder",
            
1585
        "kidnapping",
1514
        "kidnapping",
            
1586
        "Infantide",
1515
        "Infantide",
            
1587
        "Foeticide",
1516
        "Foeticide",
            
1588
        "Buying of minors",
1517
        "Buying of minors",
            
1589
        "selling of minors",
1518
        "selling of minors",
            
1590
        "child labour"
1519
        "child labour"
            
1591
      ],
1520
      ],
            
1592
      "tehsil_no": "",
1521
      "tehsil_no": "",
            
1593
      "url": 
1522
      "url": 
            
1594
c46f95/download/districtwise-crime-against-children-2017-onwards.csv",
1523
c46f95/download/districtwise-crime-against-children-2017-onwards.csv",
            
1595
      "url_type": "upload",
1524
      "url_type": "upload",
            
1596
      "years_covered": "2017-2022"
1525
      "years_covered": "2017-2022"
            
1597
    }
1526
    }
            
1598
  ],
1527
  ],
            
1599
  "sector": [
1528
  "sector": [
            
1600
    "Crime"
1529
    "Crime"
            
1601
  ],
1530
  ],
            
1602
  "source_name": "National Crime Records Bureau",
1531
  "source_name": "National Crime Records Bureau",
            
1603
  "state": "active",
1532
  "state": "active",
            
1604
  "title": "Crime Statistics",
1533
  "title": "Crime Statistics",
            
1605
  "type": "dataset",
1534
  "type": "dataset",
            
1606
  "url": "ncrb.gov.in",
1535
  "url": "ncrb.gov.in",
            
1607
  "version": null
1536
  "version": null
            
1608
}
1537
}