Changes
On November 21, 2024, 6:07:09 AM UTC,
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Added the following fields to resource Districtwise Crime Against Women 2017 onwards in Crime Statistics
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similar_datasets with value
tags with value
f | 1 | { | f | 1 | { |
2 | "SDGs": [], | 2 | "SDGs": [], | ||
3 | "author": null, | 3 | "author": null, | ||
4 | "author_email": null, | 4 | "author_email": null, | ||
5 | "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442", | 5 | "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442", | ||
6 | "extras": [ | 6 | "extras": [ | ||
7 | { | 7 | { | ||
8 | "key": "fields", | 8 | "key": "fields", | ||
9 | "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": "2024-11-21T06:06:57.456959", | n | 441 | "metadata_modified": "2024-11-21T06:07:09.393037", |
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.", | ||
454 | "num_resources": 17, | 454 | "num_resources": 17, | ||
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.", | ||
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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", | ||
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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, | ||
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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", | ||
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790 | "position": 4, | 790 | "position": 4, | ||
791 | "resource_type": null, | 791 | "resource_type": null, | ||
792 | "similar_datasets": [], | 792 | "similar_datasets": [], | ||
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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, | ||
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870 | "name": "Districtwise crime against women 2016", | 870 | "name": "Districtwise crime against women 2016", | ||
871 | "no_indicators": "25", | 871 | "no_indicators": "25", | ||
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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, | ||
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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:\n1. Trends Over Years: Analyzing | 894 | from the Crimes against Women data:\n1. Trends Over Years: Analyzing | ||
895 | the data over different years can reveal trends in crime rates against | 895 | the data over different years can reveal trends in crime rates against | ||
896 | women in various districts.\n2. State-wise and District-wise | 896 | women in various districts.\n2. State-wise and District-wise | ||
897 | Comparison: Comparing crime rates between states and districts can | 897 | Comparison: Comparing crime rates between states and districts can | ||
898 | provide insights into regional variations in women's safety.\n3. | 898 | provide insights into regional variations in women's safety.\n3. | ||
899 | Identification of High-Risk Areas: Identifying districts or states | 899 | Identification of High-Risk Areas: Identifying districts or states | ||
900 | with higher incidences of specific crimes can help prioritize law | 900 | with higher incidences of specific crimes can help prioritize law | ||
901 | enforcement and support services.\n4. Categorization of Crimes: The | 901 | enforcement and support services.\n4. Categorization of Crimes: The | ||
902 | dataset covers a wide range of crimes, allowing for an in-depth | 902 | dataset covers a wide range of crimes, allowing for an in-depth | ||
903 | analysis of different types of offenses against women.", | 903 | analysis of different types of offenses against women.", | ||
904 | "data_last_updated": "01-08-2022", | 904 | "data_last_updated": "01-08-2022", | ||
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": "2024-11-21T06:06:57.415556", | 927 | "last_modified": "2024-11-21T06:06:57.415556", | ||
928 | "lgd_mapping": "yes", | 928 | "lgd_mapping": "yes", | ||
n | 929 | "metadata_modified": "2024-11-21T06:06:57.463409", | n | 929 | "metadata_modified": "2024-11-21T06:07:09.399578", |
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": "text/csv", | 941 | "mimetype": "text/csv", | ||
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", | ||
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950 | "sku": "ncrb-cii_crime_against_women-dt-yr-aaa", | 951 | "sku": "ncrb-cii_crime_against_women-dt-yr-aaa", | ||
951 | "state": "active", | 952 | "state": "active", | ||
952 | "states_uts_no": "36", | 953 | "states_uts_no": "36", | ||
t | t | 954 | "tags": [ | ||
955 | "Crime Against Women", | ||||
956 | "Women's Safety", | ||||
957 | "District-wise Crime Data", | ||||
958 | "State-wise Crime Data", | ||||
959 | "Gender-based Violence", | ||||
960 | "Crime Trends" | ||||
961 | ], | ||||
953 | "tehsil_no": "", | 962 | "tehsil_no": "", | ||
954 | "url": | 963 | "url": | ||
955 | 419e93b6a/download/districtwise-crime-against-women-2017-onwards.csv", | 964 | 419e93b6a/download/districtwise-crime-against-women-2017-onwards.csv", | ||
956 | "url_type": "upload", | 965 | "url_type": "upload", | ||
957 | "years_covered": "2017-2022" | 966 | "years_covered": "2017-2022" | ||
958 | }, | 967 | }, | ||
959 | { | 968 | { | ||
960 | "additional_info": "nan", | 969 | "additional_info": "nan", | ||
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963 | "created": "2024-09-04T11:56:44.468033", | 972 | "created": "2024-09-04T11:56:44.468033", | ||
964 | "data_extraction_page": | 973 | "data_extraction_page": | ||
965 | "https://ncrb.gov.in/crime-in-india.html", | 974 | "https://ncrb.gov.in/crime-in-india.html", | ||
966 | "data_insights": "The insights gleaned from cybercrime data are | 975 | "data_insights": "The insights gleaned from cybercrime data are | ||
967 | highly valuable. They help identify patterns and trends in | 976 | highly valuable. They help identify patterns and trends in | ||
968 | cybercrimes, enabling law enforcement agencies to focus their efforts | 977 | cybercrimes, enabling law enforcement agencies to focus their efforts | ||
969 | on areas with higher incidence rates. Moreover, this data aids in | 978 | on areas with higher incidence rates. Moreover, this data aids in | ||
970 | understanding the types of cybercrimes that are most prevalent, such | 979 | understanding the types of cybercrimes that are most prevalent, such | ||
971 | as phishing, identity theft, or online fraud. Such insights are | 980 | as phishing, identity theft, or online fraud. Such insights are | ||
972 | crucial for developing effective preventive measures, enhancing | 981 | crucial for developing effective preventive measures, enhancing | ||
973 | cybersecurity awareness, and strengthening legal frameworks. They also | 982 | cybersecurity awareness, and strengthening legal frameworks. They also | ||
974 | highlight the need for educational initiatives and resources to | 983 | highlight the need for educational initiatives and resources to | ||
975 | empower individuals and organizations to protect themselves from cyber | 984 | empower individuals and organizations to protect themselves from cyber | ||
976 | threats, ultimately contributing to a safer digital environment.", | 985 | threats, ultimately contributing to a safer digital environment.", | ||
977 | "data_last_updated": "01-08-2024", | 986 | "data_last_updated": "01-08-2024", | ||
978 | "data_retreival_date": "2024-07-01 00:00:00", | 987 | "data_retreival_date": "2024-07-01 00:00:00", | ||
979 | "datastore_active": true, | 988 | "datastore_active": true, | ||
980 | "description": "The data for the count of cybercrimes in each | 989 | "description": "The data for the count of cybercrimes in each | ||
981 | district is collected from multiple sources, including law enforcement | 990 | district is collected from multiple sources, including law enforcement | ||
982 | agencies, cybercrime units, and online reporting platforms. These | 991 | agencies, cybercrime units, and online reporting platforms. These | ||
983 | sources document various cybercrimes, such as hacking, online fraud, | 992 | sources document various cybercrimes, such as hacking, online fraud, | ||
984 | identity theft, and cyberbullying. The data includes details about the | 993 | identity theft, and cyberbullying. The data includes details about the | ||
985 | nature of the crime, the location of the incident, the parties | 994 | nature of the crime, the location of the incident, the parties | ||
986 | involved, and the outcomes of investigations. It is essential for law | 995 | involved, and the outcomes of investigations. It is essential for law | ||
987 | enforcement, policymakers, and cybersecurity experts to monitor and | 996 | enforcement, policymakers, and cybersecurity experts to monitor and | ||
988 | analyze this data to develop strategies for preventing and addressing | 997 | analyze this data to develop strategies for preventing and addressing | ||
989 | cybercrimes effectively. Additionally, public awareness campaigns and | 998 | cybercrimes effectively. Additionally, public awareness campaigns and | ||
990 | educational programs are often based on these statistics to promote | 999 | educational programs are often based on these statistics to promote | ||
991 | online safety.", | 1000 | online safety.", | ||
992 | "district_no": "752", | 1001 | "district_no": "752", | ||
993 | "format": "CSV", | 1002 | "format": "CSV", | ||
994 | "frequency": "Yearly", | 1003 | "frequency": "Yearly", | ||
995 | "gp_no": "", | 1004 | "gp_no": "", | ||
996 | "granularity": "District", | 1005 | "granularity": "District", | ||
997 | "hash": "", | 1006 | "hash": "", | ||
998 | "id": "2353f85d-372a-4bb2-8617-32775891f39b", | 1007 | "id": "2353f85d-372a-4bb2-8617-32775891f39b", | ||
999 | "idp_ready": true, | 1008 | "idp_ready": true, | ||
1000 | "last_modified": "2024-11-20T12:39:21.135636", | 1009 | "last_modified": "2024-11-20T12:39:21.135636", | ||
1001 | "lgd_mapping": "yes", | 1010 | "lgd_mapping": "yes", | ||
1002 | "metadata_modified": "2024-11-20T12:39:30.316885", | 1011 | "metadata_modified": "2024-11-20T12:39:30.316885", | ||
1003 | "methodology": "The process of generating data for cybercrimes | 1012 | "methodology": "The process of generating data for cybercrimes | ||
1004 | in each district is intricate. It starts with incident reporting by | 1013 | in each district is intricate. It starts with incident reporting by | ||
1005 | local authorities and individuals, followed by data collection and | 1014 | local authorities and individuals, followed by data collection and | ||
1006 | maintenance by law enforcement agencies. Legal involvement, including | 1015 | maintenance by law enforcement agencies. Legal involvement, including | ||
1007 | interviews and digital forensics, supplements the data. Each district | 1016 | interviews and digital forensics, supplements the data. Each district | ||
1008 | maintains its records, and this information is periodically reported | 1017 | maintains its records, and this information is periodically reported | ||
1009 | to a central agency. Data undergoes classification, analysis, and | 1018 | to a central agency. Data undergoes classification, analysis, and | ||
1010 | anonymization, shedding light on trends and areas with high cybercrime | 1019 | anonymization, shedding light on trends and areas with high cybercrime | ||
1011 | rates. Insights guide prevention strategies, awareness campaigns, and | 1020 | rates. Insights guide prevention strategies, awareness campaigns, and | ||
1012 | legislation. The public's role in reporting and practicing safe online | 1021 | legislation. The public's role in reporting and practicing safe online | ||
1013 | behavior is emphasized, while resource allocation benefits from | 1022 | behavior is emphasized, while resource allocation benefits from | ||
1014 | understanding local cybercrime trends.", | 1023 | understanding local cybercrime trends.", | ||
1015 | "mimetype": "text/csv", | 1024 | "mimetype": "text/csv", | ||
1016 | "mimetype_inner": null, | 1025 | "mimetype_inner": null, | ||
1017 | "name": "Districtwise Cyber Crimes 2017 onwards", | 1026 | "name": "Districtwise Cyber Crimes 2017 onwards", | ||
1018 | "no_indicators": "41", | 1027 | "no_indicators": "41", | ||
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1021 | "resource_type": null, | 1030 | "resource_type": null, | ||
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1024 | "size": 1203753, | 1033 | "size": 1203753, | ||
1025 | "sku": "ncrb-cii_cyber_crimes-dt-yr-aaa", | 1034 | "sku": "ncrb-cii_cyber_crimes-dt-yr-aaa", | ||
1026 | "state": "active", | 1035 | "state": "active", | ||
1027 | "states_uts_no": "36", | 1036 | "states_uts_no": "36", | ||
1028 | "tags": [ | 1037 | "tags": [ | ||
1029 | "Cyber crimes", | 1038 | "Cyber crimes", | ||
1030 | "identity theft", | 1039 | "identity theft", | ||
1031 | "cyber terrorism", | 1040 | "cyber terrorism", | ||
1032 | "gambling", | 1041 | "gambling", | ||
1033 | "frogery", | 1042 | "frogery", | ||
1034 | "fraud" | 1043 | "fraud" | ||
1035 | ], | 1044 | ], | ||
1036 | "tehsil_no": "", | 1045 | "tehsil_no": "", | ||
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1039 | "url_type": "upload", | 1048 | "url_type": "upload", | ||
1040 | "years_covered": "2017-2022" | 1049 | "years_covered": "2017-2022" | ||
1041 | }, | 1050 | }, | ||
1042 | { | 1051 | { | ||
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1046 | "created": "2024-09-04T12:01:40.694431", | 1055 | "created": "2024-09-04T12:01:40.694431", | ||
1047 | "data_extraction_page": | 1056 | "data_extraction_page": | ||
1048 | "https://ncrb.gov.in/crime-in-india.html", | 1057 | "https://ncrb.gov.in/crime-in-india.html", | ||
1049 | "data_insights": "Analyzing the count of IPC (Indian Penal Code) | 1058 | "data_insights": "Analyzing the count of IPC (Indian Penal Code) | ||
1050 | crimes in each district provides valuable insights into the law and | 1059 | crimes in each district provides valuable insights into the law and | ||
1051 | order situation. Identifying districts with the highest crime rates | 1060 | order situation. Identifying districts with the highest crime rates | ||
1052 | allows law enforcement agencies to allocate resources effectively to | 1061 | allows law enforcement agencies to allocate resources effectively to | ||
1053 | address security challenges in those areas. Examining the data over | 1062 | address security challenges in those areas. Examining the data over | ||
1054 | time can reveal whether crime rates are increasing, decreasing, or | 1063 | time can reveal whether crime rates are increasing, decreasing, or | ||
1055 | remaining stable in specific districts. This trend analysis helps in | 1064 | remaining stable in specific districts. This trend analysis helps in | ||
1056 | understanding the effectiveness of crime prevention efforts. So, the | 1065 | understanding the effectiveness of crime prevention efforts. So, the | ||
1057 | count of IPC crimes in each district provides a wealth of insights | 1066 | count of IPC crimes in each district provides a wealth of insights | ||
1058 | that inform law enforcement, policymaking, and community engagement | 1067 | that inform law enforcement, policymaking, and community engagement | ||
1059 | efforts. It plays a crucial role in maintaining public safety and | 1068 | efforts. It plays a crucial role in maintaining public safety and | ||
1060 | ensuring effective law and order across regions.", | 1069 | ensuring effective law and order across regions.", | ||
1061 | "data_last_updated": "2024-08-01 00:00:00", | 1070 | "data_last_updated": "2024-08-01 00:00:00", | ||
1062 | "data_retreival_date": "2024-07-01 00:00:00", | 1071 | "data_retreival_date": "2024-07-01 00:00:00", | ||
1063 | "datastore_active": true, | 1072 | "datastore_active": true, | ||
1064 | "description": "The data of IPC (Indian Penal Code) crimes in | 1073 | "description": "The data of IPC (Indian Penal Code) crimes in | ||
1065 | each district is a crucial aspect of understanding a region's law and | 1074 | each district is a crucial aspect of understanding a region's law and | ||
1066 | order situation. This data provides valuable insights into the | 1075 | order situation. This data provides valuable insights into the | ||
1067 | prevalence and nature of criminal activities across districts. Data on | 1076 | prevalence and nature of criminal activities across districts. Data on | ||
1068 | IPC crimes in each district is a powerful tool for maintaining law and | 1077 | IPC crimes in each district is a powerful tool for maintaining law and | ||
1069 | order, devising crime prevention strategies, and ensuring the safety | 1078 | order, devising crime prevention strategies, and ensuring the safety | ||
1070 | and security of citizens. It serves as the foundation for | 1079 | and security of citizens. It serves as the foundation for | ||
1071 | evidence-based policymaking and targeted law enforcement efforts.", | 1080 | evidence-based policymaking and targeted law enforcement efforts.", | ||
1072 | "district_no": "684", | 1081 | "district_no": "684", | ||
1073 | "format": "CSV", | 1082 | "format": "CSV", | ||
1074 | "frequency": "Yearly", | 1083 | "frequency": "Yearly", | ||
1075 | "gp_no": "", | 1084 | "gp_no": "", | ||
1076 | "granularity": "District", | 1085 | "granularity": "District", | ||
1077 | "hash": "", | 1086 | "hash": "", | ||
1078 | "id": "7d5e2cc6-a704-4248-aa44-13d7186f847c", | 1087 | "id": "7d5e2cc6-a704-4248-aa44-13d7186f847c", | ||
1079 | "idp_ready": true, | 1088 | "idp_ready": true, | ||
1080 | "last_modified": "2024-09-04T12:01:40.654455", | 1089 | "last_modified": "2024-09-04T12:01:40.654455", | ||
1081 | "lgd_mapping": "yes", | 1090 | "lgd_mapping": "yes", | ||
1082 | "metadata_modified": "2024-09-05T04:27:21.431963", | 1091 | "metadata_modified": "2024-09-05T04:27:21.431963", | ||
1083 | "methodology": "The methodology for collecting data on IPC | 1092 | "methodology": "The methodology for collecting data on IPC | ||
1084 | (Indian Penal Code) crimes in districts is meticulous and systematic. | 1093 | (Indian Penal Code) crimes in districts is meticulous and systematic. | ||
1085 | It begins with reports from various sources, which law enforcement | 1094 | It begins with reports from various sources, which law enforcement | ||
1086 | agencies receive and use to register FIRs (First Information Reports). | 1095 | agencies receive and use to register FIRs (First Information Reports). | ||
1087 | Crimes are then categorized by relevant IPC sections and carefully | 1096 | Crimes are then categorized by relevant IPC sections and carefully | ||
1088 | documented. Trained personnel input this information into a central | 1097 | documented. Trained personnel input this information into a central | ||
1089 | database, subjecting it to thorough quality control and privacy | 1098 | database, subjecting it to thorough quality control and privacy | ||
1090 | safeguards. The data is shared with government agencies and the public | 1099 | safeguards. The data is shared with government agencies and the public | ||
1091 | for research purposes, aiding law enforcement, resource allocation, | 1100 | for research purposes, aiding law enforcement, resource allocation, | ||
1092 | and crime prevention. Regular reviews and technology integration | 1101 | and crime prevention. Regular reviews and technology integration | ||
1093 | enhance the effectiveness of this methodology, ensuring accurate and | 1102 | enhance the effectiveness of this methodology, ensuring accurate and | ||
1094 | privacy-compliant crime data collection and analysis.", | 1103 | privacy-compliant crime data collection and analysis.", | ||
1095 | "mimetype": null, | 1104 | "mimetype": null, | ||
1096 | "mimetype_inner": null, | 1105 | "mimetype_inner": null, | ||
1097 | "name": "Districtwise IPC crimes 2016", | 1106 | "name": "Districtwise IPC crimes 2016", | ||
1098 | "no_indicators": "34", | 1107 | "no_indicators": "34", | ||
1099 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | 1108 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | ||
1100 | "position": 8, | 1109 | "position": 8, | ||
1101 | "resource_type": null, | 1110 | "resource_type": null, | ||
1102 | "similar_resources": "", | 1111 | "similar_resources": "", | ||
1103 | "size": 177260, | 1112 | "size": 177260, | ||
1104 | "sku": "ncrb-cii_ipc_crimes-dt-yr-prv", | 1113 | "sku": "ncrb-cii_ipc_crimes-dt-yr-prv", | ||
1105 | "state": "active", | 1114 | "state": "active", | ||
1106 | "states_uts_no": "35", | 1115 | "states_uts_no": "35", | ||
1107 | "tehsil_no": "", | 1116 | "tehsil_no": "", | ||
1108 | "url": | 1117 | "url": | ||
1109 | 704-4248-aa44-13d7186f847c/download/districtwise-ipc-crimes-2016.csv", | 1118 | 704-4248-aa44-13d7186f847c/download/districtwise-ipc-crimes-2016.csv", | ||
1110 | "url_type": "upload", | 1119 | "url_type": "upload", | ||
1111 | "years_covered": "2016" | 1120 | "years_covered": "2016" | ||
1112 | }, | 1121 | }, | ||
1113 | { | 1122 | { | ||
1114 | "additional_info": "nan", | 1123 | "additional_info": "nan", | ||
1115 | "cache_last_updated": null, | 1124 | "cache_last_updated": null, | ||
1116 | "cache_url": null, | 1125 | "cache_url": null, | ||
1117 | "created": "2024-09-04T17:56:31.468140", | 1126 | "created": "2024-09-04T17:56:31.468140", | ||
1118 | "data_extraction_page": | 1127 | "data_extraction_page": | ||
1119 | "https://ncrb.gov.in/crime-in-india.html", | 1128 | "https://ncrb.gov.in/crime-in-india.html", | ||
1120 | "data_insights": "Data Insights that can be drawn:Distribution | 1129 | "data_insights": "Data Insights that can be drawn:Distribution | ||
1121 | of missing persons based on gender across different states and | 1130 | of missing persons based on gender across different states and | ||
1122 | districts.Age-wise breakdown of missing persons which can shed light | 1131 | districts.Age-wise breakdown of missing persons which can shed light | ||
1123 | on the age groups that are most vulnerable.Comparative analysis | 1132 | on the age groups that are most vulnerable.Comparative analysis | ||
1124 | between states and districts to identify regions with high numbers of | 1133 | between states and districts to identify regions with high numbers of | ||
1125 | missing persons.Gender-wise distribution in specific age groups to | 1134 | missing persons.Gender-wise distribution in specific age groups to | ||
1126 | understand if there's a significant disparity.Analysis of total | 1135 | understand if there's a significant disparity.Analysis of total | ||
1127 | missing children vs. adults can help in strategizing preventive | 1136 | missing children vs. adults can help in strategizing preventive | ||
1128 | measures for the vulnerable age groups.", | 1137 | measures for the vulnerable age groups.", | ||
1129 | "data_last_updated": "2024-08-01 00:00:00", | 1138 | "data_last_updated": "2024-08-01 00:00:00", | ||
1130 | "data_retreival_date": "2024-07-01 00:00:00", | 1139 | "data_retreival_date": "2024-07-01 00:00:00", | ||
1131 | "datastore_active": true, | 1140 | "datastore_active": true, | ||
1132 | "description": "The \"Districtwise Missing Persons 2021\" | 1141 | "description": "The \"Districtwise Missing Persons 2021\" | ||
1133 | dataset provides comprehensive data regarding individuals who went | 1142 | dataset provides comprehensive data regarding individuals who went | ||
1134 | missing in different states and districts of India during the year | 1143 | missing in different states and districts of India during the year | ||
1135 | 2021. The dataset segregates the missing persons based on gender | 1144 | 2021. The dataset segregates the missing persons based on gender | ||
1136 | (Male, Female, Transgender) and further categorizes them based on age | 1145 | (Male, Female, Transgender) and further categorizes them based on age | ||
1137 | groups. This helps in understanding the demographics of missing | 1146 | groups. This helps in understanding the demographics of missing | ||
1138 | persons on a district and state level for the mentioned year.", | 1147 | persons on a district and state level for the mentioned year.", | ||
1139 | "district_no": "731", | 1148 | "district_no": "731", | ||
1140 | "format": "CSV", | 1149 | "format": "CSV", | ||
1141 | "frequency": "Yearly", | 1150 | "frequency": "Yearly", | ||
1142 | "gp_no": "", | 1151 | "gp_no": "", | ||
1143 | "granularity": "District", | 1152 | "granularity": "District", | ||
1144 | "hash": "", | 1153 | "hash": "", | ||
1145 | "id": "90b83f06-7f08-4bc2-8ffb-4859129476bb", | 1154 | "id": "90b83f06-7f08-4bc2-8ffb-4859129476bb", | ||
1146 | "idp_ready": true, | 1155 | "idp_ready": true, | ||
1147 | "last_modified": "2024-09-04T17:56:31.428293", | 1156 | "last_modified": "2024-09-04T17:56:31.428293", | ||
1148 | "lgd_mapping": "yes", | 1157 | "lgd_mapping": "yes", | ||
1149 | "metadata_modified": "2024-09-05T04:27:56.155180", | 1158 | "metadata_modified": "2024-09-05T04:27:56.155180", | ||
1150 | "methodology": "The dataset is sourced from the official website | 1159 | "methodology": "The dataset is sourced from the official website | ||
1151 | of the National Crime Records Bureau (NCRB) of India. NCRB collates | 1160 | of the National Crime Records Bureau (NCRB) of India. NCRB collates | ||
1152 | this data from various state and district police records. It is | 1161 | 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 | 1162 | important to note that the data might be subject to changes based on | ||
1154 | further verifications and updates from respective state and district | 1163 | further verifications and updates from respective state and district | ||
1155 | authorities.", | 1164 | authorities.", | ||
1156 | "mimetype": null, | 1165 | "mimetype": null, | ||
1157 | "mimetype_inner": null, | 1166 | "mimetype_inner": null, | ||
1158 | "name": "Districtwise Missing Persons 2017-2020", | 1167 | "name": "Districtwise Missing Persons 2017-2020", | ||
1159 | "no_indicators": "32", | 1168 | "no_indicators": "32", | ||
1160 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | 1169 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | ||
1161 | "position": 9, | 1170 | "position": 9, | ||
1162 | "resource_type": null, | 1171 | "resource_type": null, | ||
1163 | "similar_resources": "", | 1172 | "similar_resources": "", | ||
1164 | "size": 520708, | 1173 | "size": 520708, | ||
1165 | "sku": "ncrb-cii_missing_persons-dt-yr-prv", | 1174 | "sku": "ncrb-cii_missing_persons-dt-yr-prv", | ||
1166 | "state": "active", | 1175 | "state": "active", | ||
1167 | "states_uts_no": "36", | 1176 | "states_uts_no": "36", | ||
1168 | "tehsil_no": "", | 1177 | "tehsil_no": "", | ||
1169 | "url": | 1178 | "url": | ||
1170 | 8ffb-4859129476bb/download/districtwise-missing-persons-20172020.csv", | 1179 | 8ffb-4859129476bb/download/districtwise-missing-persons-20172020.csv", | ||
1171 | "url_type": "upload", | 1180 | "url_type": "upload", | ||
1172 | "years_covered": "2017-2020" | 1181 | "years_covered": "2017-2020" | ||
1173 | }, | 1182 | }, | ||
1174 | { | 1183 | { | ||
1175 | "additional_info": "nan", | 1184 | "additional_info": "nan", | ||
1176 | "cache_last_updated": null, | 1185 | "cache_last_updated": null, | ||
1177 | "cache_url": null, | 1186 | "cache_url": null, | ||
1178 | "created": "2024-09-04T17:58:14.920260", | 1187 | "created": "2024-09-04T17:58:14.920260", | ||
1179 | "data_extraction_page": | 1188 | "data_extraction_page": | ||
1180 | "https://ncrb.gov.in/crime-in-india.html", | 1189 | "https://ncrb.gov.in/crime-in-india.html", | ||
1181 | "data_insights": "Data Insights that can be drawn:\nDistribution | 1190 | "data_insights": "Data Insights that can be drawn:\nDistribution | ||
1182 | of missing persons based on gender across different states and | 1191 | of missing persons based on gender across different states and | ||
1183 | districts.\nAge-wise breakdown of missing persons which can shed light | 1192 | districts.\nAge-wise breakdown of missing persons which can shed light | ||
1184 | on the age groups that are most vulnerable.\nComparative analysis | 1193 | on the age groups that are most vulnerable.\nComparative analysis | ||
1185 | between states and districts to identify regions with high numbers of | 1194 | between states and districts to identify regions with high numbers of | ||
1186 | missing persons.\nGender-wise distribution in specific age groups to | 1195 | missing persons.\nGender-wise distribution in specific age groups to | ||
1187 | understand if there's a significant disparity.\nAnalysis of total | 1196 | understand if there's a significant disparity.\nAnalysis of total | ||
1188 | missing children vs. adults can help in strategizing preventive | 1197 | missing children vs. adults can help in strategizing preventive | ||
1189 | measures for the vulnerable age groups.", | 1198 | measures for the vulnerable age groups.", | ||
1190 | "data_last_updated": "2024-08-01 00:00:00", | 1199 | "data_last_updated": "2024-08-01 00:00:00", | ||
1191 | "data_retreival_date": "2024-07-01 00:00:00", | 1200 | "data_retreival_date": "2024-07-01 00:00:00", | ||
1192 | "datastore_active": true, | 1201 | "datastore_active": true, | ||
1193 | "description": "The \"Districtwise Missing Persons 2021\" | 1202 | "description": "The \"Districtwise Missing Persons 2021\" | ||
1194 | dataset provides comprehensive data regarding individuals who went | 1203 | dataset provides comprehensive data regarding individuals who went | ||
1195 | missing in different states and districts of India during the year | 1204 | missing in different states and districts of India during the year | ||
1196 | 2021. The dataset segregates the missing persons based on gender | 1205 | 2021. The dataset segregates the missing persons based on gender | ||
1197 | (Male, Female, Transgender) and further categorizes them based on age | 1206 | (Male, Female, Transgender) and further categorizes them based on age | ||
1198 | groups. This helps in understanding the demographics of missing | 1207 | groups. This helps in understanding the demographics of missing | ||
1199 | persons on a district and state level for the mentioned year.", | 1208 | persons on a district and state level for the mentioned year.", | ||
1200 | "district_no": "753", | 1209 | "district_no": "753", | ||
1201 | "format": "CSV", | 1210 | "format": "CSV", | ||
1202 | "frequency": "Yearly", | 1211 | "frequency": "Yearly", | ||
1203 | "granularity": "District", | 1212 | "granularity": "District", | ||
1204 | "hash": "", | 1213 | "hash": "", | ||
1205 | "id": "25119741-f6c4-4242-b238-bb195c4ae530", | 1214 | "id": "25119741-f6c4-4242-b238-bb195c4ae530", | ||
1206 | "idp_ready": false, | 1215 | "idp_ready": false, | ||
1207 | "last_modified": "2024-09-05T04:38:00.515028", | 1216 | "last_modified": "2024-09-05T04:38:00.515028", | ||
1208 | "lgd_mapping": "yes", | 1217 | "lgd_mapping": "yes", | ||
1209 | "metadata_modified": "2024-09-05T08:59:05.644056", | 1218 | "metadata_modified": "2024-09-05T08:59:05.644056", | ||
1210 | "methodology": "The dataset is sourced from the official website | 1219 | "methodology": "The dataset is sourced from the official website | ||
1211 | of the National Crime Records Bureau (NCRB) of India. NCRB collates | 1220 | of the National Crime Records Bureau (NCRB) of India. NCRB collates | ||
1212 | this data from various state and district police records. It is | 1221 | 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 | 1222 | important to note that the data might be subject to changes based on | ||
1214 | further verifications and updates from respective state and district | 1223 | further verifications and updates from respective state and district | ||
1215 | authorities.", | 1224 | authorities.", | ||
1216 | "mimetype": "text/csv", | 1225 | "mimetype": "text/csv", | ||
1217 | "mimetype_inner": null, | 1226 | "mimetype_inner": null, | ||
1218 | "name": "Districtwise Missing Persons 2021 onwards", | 1227 | "name": "Districtwise Missing Persons 2021 onwards", | ||
1219 | "no_indicators": "15", | 1228 | "no_indicators": "15", | ||
1220 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | 1229 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | ||
1221 | "position": 10, | 1230 | "position": 10, | ||
1222 | "resource_type": null, | 1231 | "resource_type": null, | ||
1223 | "similar_datasets": [], | 1232 | "similar_datasets": [], | ||
1224 | "size": 231208, | 1233 | "size": 231208, | ||
1225 | "sku": "ncrb-cii_missing_persons-dt-yr-rct", | 1234 | "sku": "ncrb-cii_missing_persons-dt-yr-rct", | ||
1226 | "state": "active", | 1235 | "state": "active", | ||
1227 | "states_uts_no": "36", | 1236 | "states_uts_no": "36", | ||
1228 | "tags": [ | 1237 | "tags": [ | ||
1229 | "Missing Persons", | 1238 | "Missing Persons", | ||
1230 | "NCRB", | 1239 | "NCRB", | ||
1231 | "Gender Statistics", | 1240 | "Gender Statistics", | ||
1232 | "Age Group", | 1241 | "Age Group", | ||
1233 | "Crime Analysis", | 1242 | "Crime Analysis", | ||
1234 | "Vulnerable Populations" | 1243 | "Vulnerable Populations" | ||
1235 | ], | 1244 | ], | ||
1236 | "url": | 1245 | "url": | ||
1237 | -bb195c4ae530/download/districtwise-missing-persons-2021-onwards.csv", | 1246 | -bb195c4ae530/download/districtwise-missing-persons-2021-onwards.csv", | ||
1238 | "url_type": "upload", | 1247 | "url_type": "upload", | ||
1239 | "years_covered": "2021-2022" | 1248 | "years_covered": "2021-2022" | ||
1240 | }, | 1249 | }, | ||
1241 | { | 1250 | { | ||
1242 | "additional_info": "nan", | 1251 | "additional_info": "nan", | ||
1243 | "cache_last_updated": null, | 1252 | "cache_last_updated": null, | ||
1244 | "cache_url": null, | 1253 | "cache_url": null, | ||
1245 | "created": "2024-09-04T18:16:19.322278", | 1254 | "created": "2024-09-04T18:16:19.322278", | ||
1246 | "data_extraction_page": | 1255 | "data_extraction_page": | ||
1247 | "https://ncrb.gov.in/crime-in-india.html", | 1256 | "https://ncrb.gov.in/crime-in-india.html", | ||
1248 | "data_insights": "Data Insights that can be drawn:Trends over | 1257 | "data_insights": "Data Insights that can be drawn:Trends over | ||
1249 | Time: With data available for multiple years, one can track the trend | 1258 | 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 | 1259 | of specific crimes over time to ascertain if they are increasing or | ||
1251 | decreasing.Geographical Insights: By comparing crime statistics across | 1260 | decreasing.Geographical Insights: By comparing crime statistics across | ||
1252 | different states and districts, regions with higher instances of | 1261 | different states and districts, regions with higher instances of | ||
1253 | specific crimes can be identified.Crime Categories: Insight into which | 1262 | specific crimes can be identified.Crime Categories: Insight into which | ||
1254 | types of crimes are most prevalent among juveniles.Impact of Social | 1263 | types of crimes are most prevalent among juveniles.Impact of Social | ||
1255 | Initiatives: By correlating with historical social and legislative | 1264 | Initiatives: By correlating with historical social and legislative | ||
1256 | initiatives, one might gauge their effectiveness in curbing certain | 1265 | initiatives, one might gauge their effectiveness in curbing certain | ||
1257 | offenses.", | 1266 | offenses.", | ||
1258 | "data_last_updated": "2024-08-01 00:00:00", | 1267 | "data_last_updated": "2024-08-01 00:00:00", | ||
1259 | "data_retreival_date": "2024-07-01 00:00:00", | 1268 | "data_retreival_date": "2024-07-01 00:00:00", | ||
1260 | "datastore_active": true, | 1269 | "datastore_active": true, | ||
1261 | "description": "This dataset \"Crime by Juveniles,\" offers an | 1270 | "description": "This dataset \"Crime by Juveniles,\" offers an | ||
1262 | exhaustive overview of various offenses committed by juveniles across | 1271 | exhaustive overview of various offenses committed by juveniles across | ||
1263 | different states and districts in India. Sourced from the National | 1272 | different states and districts in India. Sourced from the National | ||
1264 | Crime Records Bureau (NCRB) website, the dataset breaks down numerous | 1273 | Crime Records Bureau (NCRB) website, the dataset breaks down numerous | ||
1265 | crimes under different sections of the Indian Penal Code (IPC), | 1274 | crimes under different sections of the Indian Penal Code (IPC), | ||
1266 | ranging from violent crimes such as murder to cybercrimes like | 1275 | ranging from violent crimes such as murder to cybercrimes like | ||
1267 | circulating false or fake news.", | 1276 | circulating false or fake news.", | ||
1268 | "district_no": "750", | 1277 | "district_no": "750", | ||
1269 | "format": "CSV", | 1278 | "format": "CSV", | ||
1270 | "frequency": "Yearly", | 1279 | "frequency": "Yearly", | ||
1271 | "gp_no": "", | 1280 | "gp_no": "", | ||
1272 | "granularity": "District", | 1281 | "granularity": "District", | ||
1273 | "hash": "", | 1282 | "hash": "", | ||
1274 | "id": "3f158dd4-c75f-429d-8418-f14ab7c720d9", | 1283 | "id": "3f158dd4-c75f-429d-8418-f14ab7c720d9", | ||
1275 | "idp_ready": true, | 1284 | "idp_ready": true, | ||
1276 | "last_modified": "2024-09-04T18:16:19.288395", | 1285 | "last_modified": "2024-09-04T18:16:19.288395", | ||
1277 | "lgd_mapping": "yes", | 1286 | "lgd_mapping": "yes", | ||
1278 | "metadata_modified": "2024-09-05T04:29:25.016155", | 1287 | "metadata_modified": "2024-09-05T04:29:25.016155", | ||
1279 | "methodology": "The data is presumably collated by the NCRB from | 1288 | "methodology": "The data is presumably collated by the NCRB from | ||
1280 | reports sent by various police stations across states and districts in | 1289 | reports sent by various police stations across states and districts in | ||
1281 | India. The crimes are categorized based on sections of the Indian | 1290 | India. The crimes are categorized based on sections of the Indian | ||
1282 | Penal Code (IPC) that they correspond to.", | 1291 | Penal Code (IPC) that they correspond to.", | ||
1283 | "mimetype": null, | 1292 | "mimetype": null, | ||
1284 | "mimetype_inner": null, | 1293 | "mimetype_inner": null, | ||
1285 | "name": "IPC Crime by Juveniles", | 1294 | "name": "IPC Crime by Juveniles", | ||
1286 | "no_indicators": "123", | 1295 | "no_indicators": "123", | ||
1287 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | 1296 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | ||
1288 | "position": 11, | 1297 | "position": 11, | ||
1289 | "resource_type": null, | 1298 | "resource_type": null, | ||
1290 | "similar_resources": "", | 1299 | "similar_resources": "", | ||
1291 | "size": 2817777, | 1300 | "size": 2817777, | ||
1292 | "sku": "ncrb-cii_ipc_crime_by_juveniles-dt-yr-aaa", | 1301 | "sku": "ncrb-cii_ipc_crime_by_juveniles-dt-yr-aaa", | ||
1293 | "state": "active", | 1302 | "state": "active", | ||
1294 | "states_uts_no": "36", | 1303 | "states_uts_no": "36", | ||
1295 | "tehsil_no": "", | 1304 | "tehsil_no": "", | ||
1296 | "url": | 1305 | "url": | ||
1297 | 3f158dd4-c75f-429d-8418-f14ab7c720d9/download/crime-by-juveniles.csv", | 1306 | 3f158dd4-c75f-429d-8418-f14ab7c720d9/download/crime-by-juveniles.csv", | ||
1298 | "url_type": "upload", | 1307 | "url_type": "upload", | ||
1299 | "years_covered": "2017-2022" | 1308 | "years_covered": "2017-2022" | ||
1300 | }, | 1309 | }, | ||
1301 | { | 1310 | { | ||
1302 | "additional_info": "nan", | 1311 | "additional_info": "nan", | ||
1303 | "cache_last_updated": null, | 1312 | "cache_last_updated": null, | ||
1304 | "cache_url": null, | 1313 | "cache_url": null, | ||
1305 | "created": "2024-09-04T18:46:07.958935", | 1314 | "created": "2024-09-04T18:46:07.958935", | ||
1306 | "data_extraction_page": | 1315 | "data_extraction_page": | ||
1307 | "https://ncrb.gov.in/crime-in-india.html", | 1316 | "https://ncrb.gov.in/crime-in-india.html", | ||
1308 | "data_insights": "Analyzing the \"SLL Crime by Juveniles\" | 1317 | "data_insights": "Analyzing the \"SLL Crime by Juveniles\" | ||
1309 | dataset can yield several valuable insights:Crime Trends Over Time: | 1318 | dataset can yield several valuable insights:Crime Trends Over Time: | ||
1310 | Identify patterns in juvenile crime rates over different years, which | 1319 | Identify patterns in juvenile crime rates over different years, which | ||
1311 | can help understand whether certain types of offenses are increasing | 1320 | can help understand whether certain types of offenses are increasing | ||
1312 | or decreasing.Demographic Analysis: Examine the age and gender | 1321 | or decreasing.Demographic Analysis: Examine the age and gender | ||
1313 | distribution of juvenile offenders to determine which groups are more | 1322 | distribution of juvenile offenders to determine which groups are more | ||
1314 | prone to committing specific types of crimes.Geographic Distribution: | 1323 | prone to committing specific types of crimes.Geographic Distribution: | ||
1315 | If the dataset includes location data, it can highlight regions with | 1324 | If the dataset includes location data, it can highlight regions with | ||
1316 | higher incidences of juvenile crime, helping target interventions more | 1325 | higher incidences of juvenile crime, helping target interventions more | ||
1317 | effectively.Common Offenses: Determine the most frequent types of | 1326 | effectively.Common Offenses: Determine the most frequent types of | ||
1318 | crimes committed under Special and Local Laws, providing insight into | 1327 | crimes committed under Special and Local Laws, providing insight into | ||
1319 | areas where law enforcement or preventive measures could be | 1328 | areas where law enforcement or preventive measures could be | ||
1320 | focused.Recidivism Rates: If available, analyze data on repeat | 1329 | focused.Recidivism Rates: If available, analyze data on repeat | ||
1321 | offenders to assess the effectiveness of juvenile rehabilitation | 1330 | offenders to assess the effectiveness of juvenile rehabilitation | ||
1322 | programs and the likelihood of re-offending.Impact of Legal Changes: | 1331 | programs and the likelihood of re-offending.Impact of Legal Changes: | ||
1323 | Evaluate how changes in laws or enforcement strategies have influenced | 1332 | Evaluate how changes in laws or enforcement strategies have influenced | ||
1324 | juvenile crime rates, offering a basis for policy recommendations.", | 1333 | juvenile crime rates, offering a basis for policy recommendations.", | ||
1325 | "data_last_updated": "2024-08-01 00:00:00", | 1334 | "data_last_updated": "2024-08-01 00:00:00", | ||
1326 | "data_retreival_date": "2024-07-01 00:00:00", | 1335 | "data_retreival_date": "2024-07-01 00:00:00", | ||
1327 | "datastore_active": true, | 1336 | "datastore_active": true, | ||
1328 | "description": "The \"SLL Crime by Juveniles\" dataset typically | 1337 | "description": "The \"SLL Crime by Juveniles\" dataset typically | ||
1329 | contains data on crimes committed by juveniles under Special and Local | 1338 | contains data on crimes committed by juveniles under Special and Local | ||
1330 | Laws (SLL) in a specific region or country. It includes information | 1339 | 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 | 1340 | 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 | 1341 | offenders, the year of the offense, and the legal outcomes. This | ||
1333 | dataset is often used to analyze trends in juvenile delinquency, | 1342 | dataset is often used to analyze trends in juvenile delinquency, | ||
1334 | identify common offenses, and inform policy decisions aimed at | 1343 | identify common offenses, and inform policy decisions aimed at | ||
1335 | preventing youth crime. It serves as a critical resource for | 1344 | preventing youth crime. It serves as a critical resource for | ||
1336 | understanding patterns of juvenile behavior and the effectiveness of | 1345 | understanding patterns of juvenile behavior and the effectiveness of | ||
1337 | legal interventions.", | 1346 | legal interventions.", | ||
1338 | "district_no": "746", | 1347 | "district_no": "746", | ||
1339 | "format": "CSV", | 1348 | "format": "CSV", | ||
1340 | "frequency": "Yearly", | 1349 | "frequency": "Yearly", | ||
1341 | "gp_no": "", | 1350 | "gp_no": "", | ||
1342 | "granularity": "District", | 1351 | "granularity": "District", | ||
1343 | "hash": "", | 1352 | "hash": "", | ||
1344 | "id": "7a57ba6e-d918-4612-9cab-b75d5662287d", | 1353 | "id": "7a57ba6e-d918-4612-9cab-b75d5662287d", | ||
1345 | "idp_ready": true, | 1354 | "idp_ready": true, | ||
1346 | "last_modified": "2024-09-04T18:46:07.923093", | 1355 | "last_modified": "2024-09-04T18:46:07.923093", | ||
1347 | "lgd_mapping": "yes", | 1356 | "lgd_mapping": "yes", | ||
1348 | "metadata_modified": "2024-09-05T04:29:52.015577", | 1357 | "metadata_modified": "2024-09-05T04:29:52.015577", | ||
1349 | "methodology": "The data is presumably collated by the NCRB from | 1358 | "methodology": "The data is presumably collated by the NCRB from | ||
1350 | reports sent by various police stations across states and districts in | 1359 | reports sent by various police stations across states and districts in | ||
1351 | India. The crimes are categorized based on sections of the Indian | 1360 | India. The crimes are categorized based on sections of the Indian | ||
1352 | Penal Code (IPC) that they correspond to.", | 1361 | Penal Code (IPC) that they correspond to.", | ||
1353 | "mimetype": null, | 1362 | "mimetype": null, | ||
1354 | "mimetype_inner": null, | 1363 | "mimetype_inner": null, | ||
1355 | "name": "SLL Crime by Juveniles", | 1364 | "name": "SLL Crime by Juveniles", | ||
1356 | "no_indicators": "72", | 1365 | "no_indicators": "72", | ||
1357 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | 1366 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | ||
1358 | "position": 12, | 1367 | "position": 12, | ||
1359 | "resource_type": null, | 1368 | "resource_type": null, | ||
1360 | "similar_resources": "", | 1369 | "similar_resources": "", | ||
1361 | "size": 1851023, | 1370 | "size": 1851023, | ||
1362 | "sku": "ncrb-cii_sll_crime_by_juveniles-dt-yr-aaa", | 1371 | "sku": "ncrb-cii_sll_crime_by_juveniles-dt-yr-aaa", | ||
1363 | "state": "active", | 1372 | "state": "active", | ||
1364 | "states_uts_no": "36", | 1373 | "states_uts_no": "36", | ||
1365 | "tehsil_no": "", | 1374 | "tehsil_no": "", | ||
1366 | "url": | 1375 | "url": | ||
1367 | ba6e-d918-4612-9cab-b75d5662287d/download/sll-crime-by-juveniles.csv", | 1376 | ba6e-d918-4612-9cab-b75d5662287d/download/sll-crime-by-juveniles.csv", | ||
1368 | "url_type": "upload", | 1377 | "url_type": "upload", | ||
1369 | "years_covered": "2017-2022" | 1378 | "years_covered": "2017-2022" | ||
1370 | }, | 1379 | }, | ||
1371 | { | 1380 | { | ||
1372 | "additional_info": "nan", | 1381 | "additional_info": "nan", | ||
1373 | "cache_last_updated": null, | 1382 | "cache_last_updated": null, | ||
1374 | "cache_url": null, | 1383 | "cache_url": null, | ||
1375 | "created": "2024-09-05T04:53:27.403074", | 1384 | "created": "2024-09-05T04:53:27.403074", | ||
1376 | "data_extraction_page": | 1385 | "data_extraction_page": | ||
1377 | "https://ncrb.gov.in/crime-in-india.html", | 1386 | "https://ncrb.gov.in/crime-in-india.html", | ||
1378 | "data_insights": "Analyzing the count of Serious and Organized | 1387 | "data_insights": "Analyzing the count of Serious and Organized | ||
1379 | Crime Legislation (SLL) crimes in each district provides significant | 1388 | Crime Legislation (SLL) crimes in each district provides significant | ||
1380 | data insights that can inform legislative decisions and law | 1389 | data insights that can inform legislative decisions and law | ||
1381 | enforcement strategies. The data allows to pinpoint districts with the | 1390 | enforcement strategies. The data allows to pinpoint districts with the | ||
1382 | highest counts of SLL crimes. This information is critical for law | 1391 | highest counts of SLL crimes. This information is critical for law | ||
1383 | enforcement agencies to focus their efforts and resources on areas | 1392 | enforcement agencies to focus their efforts and resources on areas | ||
1384 | with the greatest need for intervention. This data can guide budget | 1393 | with the greatest need for intervention. This data can guide budget | ||
1385 | allocation and resource distribution. Over time, tracking changes in | 1394 | allocation and resource distribution. Over time, tracking changes in | ||
1386 | SLL crime counts can help evaluate the effectiveness of existing laws | 1395 | SLL crime counts can help evaluate the effectiveness of existing laws | ||
1387 | and policies. A reduction in crime rates may indicate that legislative | 1396 | and policies. A reduction in crime rates may indicate that legislative | ||
1388 | measures are achieving their intended objectives.", | 1397 | measures are achieving their intended objectives.", | ||
1389 | "data_last_updated": "01-08-2024", | 1398 | "data_last_updated": "01-08-2024", | ||
1390 | "data_retreival_date": "2024-07-01 00:00:00", | 1399 | "data_retreival_date": "2024-07-01 00:00:00", | ||
1391 | "datastore_active": true, | 1400 | "datastore_active": true, | ||
1392 | "description": "Data is about the count of SLL crimes in each | 1401 | "description": "Data is about the count of SLL crimes in each | ||
1393 | district provides a foundation for informed lawmaking and effective | 1402 | district provides a foundation for informed lawmaking and effective | ||
1394 | law enforcement. It guides resource allocation, legislative | 1403 | law enforcement. It guides resource allocation, legislative | ||
1395 | improvements, community engagement, and collaborative efforts to | 1404 | improvements, community engagement, and collaborative efforts to | ||
1396 | combat organized crime, ultimately fostering safer and more secure | 1405 | combat organized crime, ultimately fostering safer and more secure | ||
1397 | communities.", | 1406 | communities.", | ||
1398 | "district_no": "684", | 1407 | "district_no": "684", | ||
1399 | "format": "CSV", | 1408 | "format": "CSV", | ||
1400 | "frequency": "Yearly", | 1409 | "frequency": "Yearly", | ||
1401 | "gp_no": "", | 1410 | "gp_no": "", | ||
1402 | "granularity": "District", | 1411 | "granularity": "District", | ||
1403 | "hash": "", | 1412 | "hash": "", | ||
1404 | "id": "c4561be6-a357-421b-a290-204141722292", | 1413 | "id": "c4561be6-a357-421b-a290-204141722292", | ||
1405 | "idp_ready": true, | 1414 | "idp_ready": true, | ||
1406 | "last_modified": "2024-11-20T12:38:04.192548", | 1415 | "last_modified": "2024-11-20T12:38:04.192548", | ||
1407 | "lgd_mapping": "yes", | 1416 | "lgd_mapping": "yes", | ||
1408 | "metadata_modified": "2024-11-20T12:38:09.913615", | 1417 | "metadata_modified": "2024-11-20T12:38:09.913615", | ||
1409 | "methodology": "Collecting data on the count of Serious and | 1418 | "methodology": "Collecting data on the count of Serious and | ||
1410 | Organized Crime Legislation (SLL) crimes in each district is a | 1419 | Organized Crime Legislation (SLL) crimes in each district is a | ||
1411 | critical step in informed lawmaking and effective law enforcement. | 1420 | critical step in informed lawmaking and effective law enforcement. | ||
1412 | First and foremost, a clear definition of SLL crimes is established by | 1421 | First and foremost, a clear definition of SLL crimes is established by | ||
1413 | inacting related laws and acts. Law enforcement agencies in each | 1422 | inacting related laws and acts. Law enforcement agencies in each | ||
1414 | district play a pivotal role in reporting SLL crimes. nce the data is | 1423 | district play a pivotal role in reporting SLL crimes. nce the data is | ||
1415 | collected, it is submitted to a central database or information | 1424 | collected, it is submitted to a central database or information | ||
1416 | management system. This database is secure and maintained by the | 1425 | management system. This database is secure and maintained by the | ||
1417 | relevant authority responsible for collecting and managing crime | 1426 | relevant authority responsible for collecting and managing crime | ||
1418 | data.", | 1427 | data.", | ||
1419 | "mimetype": "text/csv", | 1428 | "mimetype": "text/csv", | ||
1420 | "mimetype_inner": null, | 1429 | "mimetype_inner": null, | ||
1421 | "name": "Districtwise SLL crimes 2016", | 1430 | "name": "Districtwise SLL crimes 2016", | ||
1422 | "no_indicators": "56", | 1431 | "no_indicators": "56", | ||
1423 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | 1432 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | ||
1424 | "position": 13, | 1433 | "position": 13, | ||
1425 | "resource_type": null, | 1434 | "resource_type": null, | ||
1426 | "similar_datasets": [], | 1435 | "similar_datasets": [], | ||
1427 | "similar_resources": "", | 1436 | "similar_resources": "", | ||
1428 | "size": 239108, | 1437 | "size": 239108, | ||
1429 | "sku": "ncrb-cii_sll_crimes-dt-yr-prv", | 1438 | "sku": "ncrb-cii_sll_crimes-dt-yr-prv", | ||
1430 | "state": "active", | 1439 | "state": "active", | ||
1431 | "states_uts_no": "36", | 1440 | "states_uts_no": "36", | ||
1432 | "tags": [ | 1441 | "tags": [ | ||
1433 | "SLL crimes", | 1442 | "SLL crimes", | ||
1434 | "districtwise total crimes", | 1443 | "districtwise total crimes", | ||
1435 | "other SLL crimes" | 1444 | "other SLL crimes" | ||
1436 | ], | 1445 | ], | ||
1437 | "tehsil_no": "", | 1446 | "tehsil_no": "", | ||
1438 | "url": | 1447 | "url": | ||
1439 | 357-421b-a290-204141722292/download/districtwise-sll-crimes-2016.csv", | 1448 | 357-421b-a290-204141722292/download/districtwise-sll-crimes-2016.csv", | ||
1440 | "url_type": "upload", | 1449 | "url_type": "upload", | ||
1441 | "years_covered": "2016.0" | 1450 | "years_covered": "2016.0" | ||
1442 | }, | 1451 | }, | ||
1443 | { | 1452 | { | ||
1444 | "additional_info": "nan", | 1453 | "additional_info": "nan", | ||
1445 | "cache_last_updated": null, | 1454 | "cache_last_updated": null, | ||
1446 | "cache_url": null, | 1455 | "cache_url": null, | ||
1447 | "created": "2024-09-20T08:04:23.984563", | 1456 | "created": "2024-09-20T08:04:23.984563", | ||
1448 | "data_extraction_page": | 1457 | "data_extraction_page": | ||
1449 | "https://ncrb.gov.in/crime-in-india.html", | 1458 | "https://ncrb.gov.in/crime-in-india.html", | ||
1450 | "data_insights": "These are a few insights that can be drawn | 1459 | "data_insights": "These are a few insights that can be drawn | ||
1451 | from the Crimes against children data:\nTrend Analysis: Examining | 1460 | from the Crimes against children data:\nTrend Analysis: Examining | ||
1452 | trends over time can reveal whether child crime rates are increasing | 1461 | trends over time can reveal whether child crime rates are increasing | ||
1453 | or decreasing. Identifying spikes in certain periods can prompt | 1462 | or decreasing. Identifying spikes in certain periods can prompt | ||
1454 | targeted interventions.\nGeographical Patterns: Analyzing data by | 1463 | targeted interventions.\nGeographical Patterns: Analyzing data by | ||
1455 | district helps identify regions with higher child crime rates. This | 1464 | district helps identify regions with higher child crime rates. This | ||
1456 | information can guide resource allocation and intervention | 1465 | information can guide resource allocation and intervention | ||
1457 | strategies.\nCrime Types: Understanding the types of crimes committed | 1466 | strategies.\nCrime Types: Understanding the types of crimes committed | ||
1458 | against children, such as abuse, abduction, or child labor, helps | 1467 | against children, such as abuse, abduction, or child labor, helps | ||
1459 | tailor prevention and support programs.\nPreventive Measures: These | 1468 | tailor prevention and support programs.\nPreventive Measures: These | ||
1460 | insights support the development of preventive measures, educational | 1469 | insights support the development of preventive measures, educational | ||
1461 | campaigns, and support services to reduce crimes against children.", | 1470 | campaigns, and support services to reduce crimes against children.", | ||
1462 | "data_last_updated": "01-08-2024", | 1471 | "data_last_updated": "01-08-2024", | ||
1463 | "data_retreival_date": "2024-07-01 00:00:00", | 1472 | "data_retreival_date": "2024-07-01 00:00:00", | ||
1464 | "datastore_active": true, | 1473 | "datastore_active": true, | ||
1465 | "description": "Data on crimes against children in each district | 1474 | "description": "Data on crimes against children in each district | ||
1466 | is a pivotal resource. It offers valuable insights into child safety, | 1475 | is a pivotal resource. It offers valuable insights into child safety, | ||
1467 | aiding policymakers, law enforcement, and communities. By identifying | 1476 | aiding policymakers, law enforcement, and communities. By identifying | ||
1468 | crime trends and hotspots, resources can be directed effectively. It | 1477 | crime trends and hotspots, resources can be directed effectively. It | ||
1469 | enables the assessment of child protection measures, highlighting | 1478 | enables the assessment of child protection measures, highlighting | ||
1470 | areas for improvement. Communities and organizations can use this data | 1479 | areas for improvement. Communities and organizations can use this data | ||
1471 | for advocacy and awareness campaigns, fostering a safer environment. | 1480 | for advocacy and awareness campaigns, fostering a safer environment. | ||
1472 | In essence, it empowers evidence-based policy formulation to ensure | 1481 | In essence, it empowers evidence-based policy formulation to ensure | ||
1473 | the welfare of our nation's youth, reflecting its immense significance | 1482 | the welfare of our nation's youth, reflecting its immense significance | ||
1474 | in child protection and welfare efforts.", | 1483 | in child protection and welfare efforts.", | ||
1475 | "district_no": "751", | 1484 | "district_no": "751", | ||
1476 | "format": "CSV", | 1485 | "format": "CSV", | ||
1477 | "frequency": "Yearly", | 1486 | "frequency": "Yearly", | ||
1478 | "gp_no": "", | 1487 | "gp_no": "", | ||
1479 | "granularity": "District", | 1488 | "granularity": "District", | ||
1480 | "hash": "", | 1489 | "hash": "", | ||
1481 | "id": "4757b1c6-d95d-4276-ad37-78afa3c46f95", | 1490 | "id": "4757b1c6-d95d-4276-ad37-78afa3c46f95", | ||
1482 | "idp_ready": true, | 1491 | "idp_ready": true, | ||
1483 | "indicators": [], | 1492 | "indicators": [], | ||
1484 | "last_modified": "2024-11-20T12:40:16.913562", | 1493 | "last_modified": "2024-11-20T12:40:16.913562", | ||
1485 | "lgd_mapping": "yes", | 1494 | "lgd_mapping": "yes", | ||
1486 | "metadata_modified": "2024-11-20T12:40:26.763698", | 1495 | "metadata_modified": "2024-11-20T12:40:26.763698", | ||
1487 | "methodology": "Data on crimes against children in each district | 1496 | "methodology": "Data on crimes against children in each district | ||
1488 | is gathered through a collaborative effort. Law enforcement agencies, | 1497 | is gathered through a collaborative effort. Law enforcement agencies, | ||
1489 | including local police, play a central role by documenting reported | 1498 | including local police, play a central role by documenting reported | ||
1490 | incidents. Child welfare organizations, NGOs, and government bodies | 1499 | incidents. Child welfare organizations, NGOs, and government bodies | ||
1491 | also contribute data through surveys and studies. Medical institutions | 1500 | also contribute data through surveys and studies. Medical institutions | ||
1492 | report cases when providing care to affected children. Collaboration | 1501 | report cases when providing care to affected children. Collaboration | ||
1493 | among these stakeholders is vital for comprehensive data. Legal | 1502 | among these stakeholders is vital for comprehensive data. Legal | ||
1494 | frameworks and protocols guide data collection, and audits ensure | 1503 | frameworks and protocols guide data collection, and audits ensure | ||
1495 | accuracy. Overall, this collaborative approach helps assess child | 1504 | accuracy. Overall, this collaborative approach helps assess child | ||
1496 | protection needs and develop effective strategies at the district | 1505 | protection needs and develop effective strategies at the district | ||
1497 | level.", | 1506 | level.", | ||
1498 | "mimetype": "text/csv", | 1507 | "mimetype": "text/csv", | ||
1499 | "mimetype_inner": null, | 1508 | "mimetype_inner": null, | ||
1500 | "name": "Districtwise Crime Against Children 2017 onwards", | 1509 | "name": "Districtwise Crime Against Children 2017 onwards", | ||
1501 | "no_indicators": "51", | 1510 | "no_indicators": "51", | ||
1502 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | 1511 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | ||
1503 | "position": 14, | 1512 | "position": 14, | ||
1504 | "resource_type": null, | 1513 | "resource_type": null, | ||
1505 | "similar_datasets": [], | 1514 | "similar_datasets": [], | ||
1506 | "similar_resources": "", | 1515 | "similar_resources": "", | ||
1507 | "size": 1425878, | 1516 | "size": 1425878, | ||
1508 | "sku": "ncrb-cii_crime_against_children-dt-yr-aaa", | 1517 | "sku": "ncrb-cii_crime_against_children-dt-yr-aaa", | ||
1509 | "state": "active", | 1518 | "state": "active", | ||
1510 | "states_uts_no": "36", | 1519 | "states_uts_no": "36", | ||
1511 | "tags": [ | 1520 | "tags": [ | ||
1512 | "Crimes against children", | 1521 | "Crimes against children", | ||
1513 | "murder", | 1522 | "murder", | ||
1514 | "kidnapping", | 1523 | "kidnapping", | ||
1515 | "Infantide", | 1524 | "Infantide", | ||
1516 | "Foeticide", | 1525 | "Foeticide", | ||
1517 | "Buying of minors", | 1526 | "Buying of minors", | ||
1518 | "selling of minors", | 1527 | "selling of minors", | ||
1519 | "child labour" | 1528 | "child labour" | ||
1520 | ], | 1529 | ], | ||
1521 | "tehsil_no": "", | 1530 | "tehsil_no": "", | ||
1522 | "url": | 1531 | "url": | ||
1523 | c46f95/download/districtwise-crime-against-children-2017-onwards.csv", | 1532 | c46f95/download/districtwise-crime-against-children-2017-onwards.csv", | ||
1524 | "url_type": "upload", | 1533 | "url_type": "upload", | ||
1525 | "years_covered": "2017-2022" | 1534 | "years_covered": "2017-2022" | ||
1526 | }, | 1535 | }, | ||
1527 | { | 1536 | { | ||
1528 | "additional_info": "nan", | 1537 | "additional_info": "nan", | ||
1529 | "cache_last_updated": null, | 1538 | "cache_last_updated": null, | ||
1530 | "cache_url": null, | 1539 | "cache_url": null, | ||
1531 | "created": "2024-11-21T04:21:19.402505", | 1540 | "created": "2024-11-21T04:21:19.402505", | ||
1532 | "data_extraction_page": | 1541 | "data_extraction_page": | ||
1533 | "https://ncrb.gov.in/crime-in-india.html", | 1542 | "https://ncrb.gov.in/crime-in-india.html", | ||
1534 | "data_insights": "Analyzing the count of IPC (Indian Penal Code) | 1543 | "data_insights": "Analyzing the count of IPC (Indian Penal Code) | ||
1535 | crimes in each district provides valuable insights into the law and | 1544 | crimes in each district provides valuable insights into the law and | ||
1536 | order situation. Identifying districts with the highest crime rates | 1545 | order situation. Identifying districts with the highest crime rates | ||
1537 | allows law enforcement agencies to allocate resources effectively to | 1546 | allows law enforcement agencies to allocate resources effectively to | ||
1538 | address security challenges in those areas. Examining the data over | 1547 | address security challenges in those areas. Examining the data over | ||
1539 | time can reveal whether crime rates are increasing, decreasing, or | 1548 | time can reveal whether crime rates are increasing, decreasing, or | ||
1540 | remaining stable in specific districts. This trend analysis helps in | 1549 | remaining stable in specific districts. This trend analysis helps in | ||
1541 | understanding the effectiveness of crime prevention efforts. So, the | 1550 | understanding the effectiveness of crime prevention efforts. So, the | ||
1542 | count of IPC crimes in each district provides a wealth of insights | 1551 | count of IPC crimes in each district provides a wealth of insights | ||
1543 | that inform law enforcement, policymaking, and community engagement | 1552 | that inform law enforcement, policymaking, and community engagement | ||
1544 | efforts. It plays a crucial role in maintaining public safety and | 1553 | efforts. It plays a crucial role in maintaining public safety and | ||
1545 | ensuring effective law and order across regions.", | 1554 | ensuring effective law and order across regions.", | ||
1546 | "data_last_updated": "01-08-2024", | 1555 | "data_last_updated": "01-08-2024", | ||
1547 | "data_retreival_date": "2024-07-01 00:00:00", | 1556 | "data_retreival_date": "2024-07-01 00:00:00", | ||
1548 | "datastore_active": true, | 1557 | "datastore_active": true, | ||
1549 | "description": "The data of IPC (Indian Penal Code) crimes in | 1558 | "description": "The data of IPC (Indian Penal Code) crimes in | ||
1550 | each district is a crucial aspect of understanding a region's law and | 1559 | each district is a crucial aspect of understanding a region's law and | ||
1551 | order situation. This data provides valuable insights into the | 1560 | order situation. This data provides valuable insights into the | ||
1552 | prevalence and nature of criminal activities across districts. Data on | 1561 | prevalence and nature of criminal activities across districts. Data on | ||
1553 | IPC crimes in each district is a powerful tool for maintaining law and | 1562 | IPC crimes in each district is a powerful tool for maintaining law and | ||
1554 | order, devising crime prevention strategies, and ensuring the safety | 1563 | order, devising crime prevention strategies, and ensuring the safety | ||
1555 | and security of citizens. It serves as the foundation for | 1564 | and security of citizens. It serves as the foundation for | ||
1556 | evidence-based policymaking and targeted law enforcement efforts.", | 1565 | evidence-based policymaking and targeted law enforcement efforts.", | ||
1557 | "district_no": "749", | 1566 | "district_no": "749", | ||
1558 | "format": "CSV", | 1567 | "format": "CSV", | ||
1559 | "frequency": "Yearly", | 1568 | "frequency": "Yearly", | ||
1560 | "gp_no": "", | 1569 | "gp_no": "", | ||
1561 | "granularity": "District", | 1570 | "granularity": "District", | ||
1562 | "hash": "", | 1571 | "hash": "", | ||
1563 | "id": "387dedad-5978-4f97-a6c5-60ca45f9405a", | 1572 | "id": "387dedad-5978-4f97-a6c5-60ca45f9405a", | ||
1564 | "idp_ready": true, | 1573 | "idp_ready": true, | ||
1565 | "indicators": [], | 1574 | "indicators": [], | ||
1566 | "last_modified": "2024-11-21T04:21:19.321701", | 1575 | "last_modified": "2024-11-21T04:21:19.321701", | ||
1567 | "lgd_mapping": "yes", | 1576 | "lgd_mapping": "yes", | ||
1568 | "metadata_modified": "2024-11-21T04:24:27.635002", | 1577 | "metadata_modified": "2024-11-21T04:24:27.635002", | ||
1569 | "methodology": "The methodology for collecting data on IPC | 1578 | "methodology": "The methodology for collecting data on IPC | ||
1570 | (Indian Penal Code) crimes in districts is meticulous and systematic. | 1579 | (Indian Penal Code) crimes in districts is meticulous and systematic. | ||
1571 | It begins with reports from various sources, which law enforcement | 1580 | It begins with reports from various sources, which law enforcement | ||
1572 | agencies receive and use to register FIRs (First Information Reports). | 1581 | agencies receive and use to register FIRs (First Information Reports). | ||
1573 | Crimes are then categorized by relevant IPC sections and carefully | 1582 | Crimes are then categorized by relevant IPC sections and carefully | ||
1574 | documented. Trained personnel input this information into a central | 1583 | documented. Trained personnel input this information into a central | ||
1575 | database, subjecting it to thorough quality control and privacy | 1584 | database, subjecting it to thorough quality control and privacy | ||
1576 | safeguards. The data is shared with government agencies and the public | 1585 | safeguards. The data is shared with government agencies and the public | ||
1577 | for research purposes, aiding law enforcement, resource allocation, | 1586 | for research purposes, aiding law enforcement, resource allocation, | ||
1578 | and crime prevention. Regular reviews and technology integration | 1587 | and crime prevention. Regular reviews and technology integration | ||
1579 | enhance the effectiveness of this methodology, ensuring accurate and | 1588 | enhance the effectiveness of this methodology, ensuring accurate and | ||
1580 | privacy-compliant crime data collection and analysis.", | 1589 | privacy-compliant crime data collection and analysis.", | ||
1581 | "mimetype": null, | 1590 | "mimetype": null, | ||
1582 | "mimetype_inner": null, | 1591 | "mimetype_inner": null, | ||
1583 | "name": "Districtwise IPC crimes 2017 onwards", | 1592 | "name": "Districtwise IPC crimes 2017 onwards", | ||
1584 | "no_indicators": "117", | 1593 | "no_indicators": "117", | ||
1585 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | 1594 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | ||
1586 | "position": 15, | 1595 | "position": 15, | ||
1587 | "resource_type": null, | 1596 | "resource_type": null, | ||
1588 | "similar_resources": "", | 1597 | "similar_resources": "", | ||
1589 | "size": 2977022, | 1598 | "size": 2977022, | ||
1590 | "sku": "ncrb-cii_ipc_crimes-dt-yr-aaa", | 1599 | "sku": "ncrb-cii_ipc_crimes-dt-yr-aaa", | ||
1591 | "state": "active", | 1600 | "state": "active", | ||
1592 | "states_uts_no": "36", | 1601 | "states_uts_no": "36", | ||
1593 | "tehsil_no": "", | 1602 | "tehsil_no": "", | ||
1594 | "url": | 1603 | "url": | ||
1595 | -a6c5-60ca45f9405a/download/districtwise-ipc-crimes-2017-onwards.csv", | 1604 | -a6c5-60ca45f9405a/download/districtwise-ipc-crimes-2017-onwards.csv", | ||
1596 | "url_type": "upload", | 1605 | "url_type": "upload", | ||
1597 | "years_covered": "2017-2022" | 1606 | "years_covered": "2017-2022" | ||
1598 | }, | 1607 | }, | ||
1599 | { | 1608 | { | ||
1600 | "additional_info": "nan", | 1609 | "additional_info": "nan", | ||
1601 | "cache_last_updated": null, | 1610 | "cache_last_updated": null, | ||
1602 | "cache_url": null, | 1611 | "cache_url": null, | ||
1603 | "created": "2024-11-21T04:22:29.363384", | 1612 | "created": "2024-11-21T04:22:29.363384", | ||
1604 | "data_extraction_page": | 1613 | "data_extraction_page": | ||
1605 | "https://ncrb.gov.in/crime-in-india.html", | 1614 | "https://ncrb.gov.in/crime-in-india.html", | ||
1606 | "data_insights": "Analyzing the count of Serious and Organized | 1615 | "data_insights": "Analyzing the count of Serious and Organized | ||
1607 | Crime Legislation (SLL) crimes in each district provides significant | 1616 | Crime Legislation (SLL) crimes in each district provides significant | ||
1608 | data insights that can inform legislative decisions and law | 1617 | data insights that can inform legislative decisions and law | ||
1609 | enforcement strategies. The data allows to pinpoint districts with the | 1618 | enforcement strategies. The data allows to pinpoint districts with the | ||
1610 | highest counts of SLL crimes. This information is critical for law | 1619 | highest counts of SLL crimes. This information is critical for law | ||
1611 | enforcement agencies to focus their efforts and resources on areas | 1620 | enforcement agencies to focus their efforts and resources on areas | ||
1612 | with the greatest need for intervention. This data can guide budget | 1621 | with the greatest need for intervention. This data can guide budget | ||
1613 | allocation and resource distribution. Over time, tracking changes in | 1622 | allocation and resource distribution. Over time, tracking changes in | ||
1614 | SLL crime counts can help evaluate the effectiveness of existing laws | 1623 | SLL crime counts can help evaluate the effectiveness of existing laws | ||
1615 | and policies. A reduction in crime rates may indicate that legislative | 1624 | and policies. A reduction in crime rates may indicate that legislative | ||
1616 | measures are achieving their intended objectives.", | 1625 | measures are achieving their intended objectives.", | ||
1617 | "data_last_updated": "01-08-2024", | 1626 | "data_last_updated": "01-08-2024", | ||
1618 | "data_retreival_date": "2024-07-01 00:00:00", | 1627 | "data_retreival_date": "2024-07-01 00:00:00", | ||
1619 | "datastore_active": true, | 1628 | "datastore_active": true, | ||
1620 | "description": "Data is about the count of SLL crimes in each | 1629 | "description": "Data is about the count of SLL crimes in each | ||
1621 | district provides a foundation for informed lawmaking and effective | 1630 | district provides a foundation for informed lawmaking and effective | ||
1622 | law enforcement. It guides resource allocation, legislative | 1631 | law enforcement. It guides resource allocation, legislative | ||
1623 | improvements, community engagement, and collaborative efforts to | 1632 | improvements, community engagement, and collaborative efforts to | ||
1624 | combat organized crime, ultimately fostering safer and more secure | 1633 | combat organized crime, ultimately fostering safer and more secure | ||
1625 | communities.", | 1634 | communities.", | ||
1626 | "district_no": "752", | 1635 | "district_no": "752", | ||
1627 | "format": "CSV", | 1636 | "format": "CSV", | ||
1628 | "frequency": "Yearly", | 1637 | "frequency": "Yearly", | ||
1629 | "gp_no": "", | 1638 | "gp_no": "", | ||
1630 | "granularity": "District", | 1639 | "granularity": "District", | ||
1631 | "hash": "", | 1640 | "hash": "", | ||
1632 | "id": "3d051a90-96d1-4421-99b6-f3cae816a8d0", | 1641 | "id": "3d051a90-96d1-4421-99b6-f3cae816a8d0", | ||
1633 | "idp_ready": true, | 1642 | "idp_ready": true, | ||
1634 | "indicators": [], | 1643 | "indicators": [], | ||
1635 | "last_modified": "2024-11-21T04:22:29.279939", | 1644 | "last_modified": "2024-11-21T04:22:29.279939", | ||
1636 | "lgd_mapping": "yes", | 1645 | "lgd_mapping": "yes", | ||
1637 | "metadata_modified": "2024-11-21T04:24:47.763716", | 1646 | "metadata_modified": "2024-11-21T04:24:47.763716", | ||
1638 | "methodology": "Collecting data on the count of Serious and | 1647 | "methodology": "Collecting data on the count of Serious and | ||
1639 | Organized Crime Legislation (SLL) crimes in each district is a | 1648 | Organized Crime Legislation (SLL) crimes in each district is a | ||
1640 | critical step in informed lawmaking and effective law enforcement. | 1649 | critical step in informed lawmaking and effective law enforcement. | ||
1641 | First and foremost, a clear definition of SLL crimes is established by | 1650 | First and foremost, a clear definition of SLL crimes is established by | ||
1642 | inacting related laws and acts. Law enforcement agencies in each | 1651 | inacting related laws and acts. Law enforcement agencies in each | ||
1643 | district play a pivotal role in reporting SLL crimes. nce the data is | 1652 | district play a pivotal role in reporting SLL crimes. nce the data is | ||
1644 | collected, it is submitted to a central database or information | 1653 | collected, it is submitted to a central database or information | ||
1645 | management system. This database is secure and maintained by the | 1654 | management system. This database is secure and maintained by the | ||
1646 | relevant authority responsible for collecting and managing crime | 1655 | relevant authority responsible for collecting and managing crime | ||
1647 | data.", | 1656 | data.", | ||
1648 | "mimetype": null, | 1657 | "mimetype": null, | ||
1649 | "mimetype_inner": null, | 1658 | "mimetype_inner": null, | ||
1650 | "name": "Districtwise SLL crimes 2017 onwards", | 1659 | "name": "Districtwise SLL crimes 2017 onwards", | ||
1651 | "no_indicators": "72", | 1660 | "no_indicators": "72", | ||
1652 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | 1661 | "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", | ||
1653 | "position": 16, | 1662 | "position": 16, | ||
1654 | "resource_type": null, | 1663 | "resource_type": null, | ||
1655 | "similar_resources": "", | 1664 | "similar_resources": "", | ||
1656 | "size": 1905158, | 1665 | "size": 1905158, | ||
1657 | "sku": "ncrb-cii_sll_crimes-dt-yr-aaa", | 1666 | "sku": "ncrb-cii_sll_crimes-dt-yr-aaa", | ||
1658 | "state": "active", | 1667 | "state": "active", | ||
1659 | "states_uts_no": "36", | 1668 | "states_uts_no": "36", | ||
1660 | "tehsil_no": "", | 1669 | "tehsil_no": "", | ||
1661 | "url": | 1670 | "url": | ||
1662 | -99b6-f3cae816a8d0/download/districtwise-sll-crimes-2017-onwards.csv", | 1671 | -99b6-f3cae816a8d0/download/districtwise-sll-crimes-2017-onwards.csv", | ||
1663 | "url_type": "upload", | 1672 | "url_type": "upload", | ||
1664 | "years_covered": "2017-2022" | 1673 | "years_covered": "2017-2022" | ||
1665 | } | 1674 | } | ||
1666 | ], | 1675 | ], | ||
1667 | "sector": [ | 1676 | "sector": [ | ||
1668 | "Crime" | 1677 | "Crime" | ||
1669 | ], | 1678 | ], | ||
1670 | "source_name": "National Crime Records Bureau", | 1679 | "source_name": "National Crime Records Bureau", | ||
1671 | "state": "active", | 1680 | "state": "active", | ||
1672 | "title": "Crime Statistics", | 1681 | "title": "Crime Statistics", | ||
1673 | "type": "dataset", | 1682 | "type": "dataset", | ||
1674 | "url": "ncrb.gov.in", | 1683 | "url": "ncrb.gov.in", | ||
1675 | "version": null | 1684 | "version": null | ||
1676 | } | 1685 | } |