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On November 21, 2024, 6:06:58 AM UTC, IDP Admin:
Renamed resource Districtwise crime against women 2017 onwards to Districtwise Crime Against Women 2017 onwards in Crime Statistics
Changed value of field data_insights of resource Districtwise Crime Against Women 2017 onwards to These are a few insights that can be drawn from the Crimes against Women data: 1. Trends Over Years: Analyzing the data over different years can reveal trends in crime rates against women in various districts. 2. State-wise and District-wise Comparison: Comparing crime rates between states and districts can provide insights into regional variations in women's safety. 3. Identification of High-Risk Areas: Identifying districts or states with higher incidences of specific crimes can help prioritize law enforcement and support services. 4. Categorization of Crimes: The dataset covers a wide range of crimes, allowing for an in-depth analysis of different types of offenses against women. (previously These are a few insights that can be drawn from the Crimes against Women data:1. Trends Over Years: Analyzing the data over different years can reveal trends in crime rates against women in various districts.2. State-wise and District-wise Comparison: Comparing crime rates between states and districts can provide insights into regional variations in women's safety.3. Identification of High-Risk Areas: Identifying districts or states with higher incidences of specific crimes can help prioritize law enforcement and support services.4. Categorization of Crimes: The dataset covers a wide range of crimes, allowing for an in-depth analysis of different types of offenses against women.) in Crime Statistics
Changed value of field sku of resource Districtwise Crime Against Women 2017 onwards to ncrb-cii_crime_against_women-dt-yr-aaa (previously ncrb-cii_crime_against_women-dt-yr-rct) in Crime Statistics
Changed value of field data_last_updated of resource Districtwise Crime Against Women 2017 onwards to 01-08-2022 (previously 2022-08-01 00:00:00) in Crime Statistics
              
    
          
          
        
        
            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": "2024-11-21T04:24:47.755089", n 441   "metadata_modified": "2024-11-21T06:06:57.456959",
            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.",
            591       "mimetype": null, 591       "mimetype": null,
            592       "mimetype_inner": null, 592       "mimetype_inner": null,
            593       "name": "Crime Against STs 2016", 593       "name": "Crime Against STs 2016",
            594       "no_indicators": "15", 594       "no_indicators": "15",
            595       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 595       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            596       "position": 1, 596       "position": 1,
            597       "resource_type": null, 597       "resource_type": null,
            598       "similar_resources": "", 598       "similar_resources": "",
            599       "size": 97535, 599       "size": 97535,
            600       "sku": "ncrb-cii_crime_against_st-dt-yr-prv", 600       "sku": "ncrb-cii_crime_against_st-dt-yr-prv",
            601       "state": "active", 601       "state": "active",
            602       "states_uts_no": "35", 602       "states_uts_no": "35",
            603       "tehsil_no": "", 603       "tehsil_no": "",
            604       "url":  604       "url": 
            605 /2fc068a1-aa59-4960-9636-29d4b18a35ca/download/crime-against-sts.csv", 605 /2fc068a1-aa59-4960-9636-29d4b18a35ca/download/crime-against-sts.csv",
            606       "url_type": "upload", 606       "url_type": "upload",
            607       "years_covered": "2016" 607       "years_covered": "2016"
            608     }, 608     },
            609     { 609     {
            610       "additional_info": "nan", 610       "additional_info": "nan",
            611       "cache_last_updated": null, 611       "cache_last_updated": null,
            612       "cache_url": null, 612       "cache_url": null,
            613       "created": "2024-09-04T11:06:21.337810", 613       "created": "2024-09-04T11:06:21.337810",
            614       "data_extraction_page":  614       "data_extraction_page": 
            615 "https://ncrb.gov.in/crime-in-india.html", 615 "https://ncrb.gov.in/crime-in-india.html",
            616       "data_insights": "Data Insights that can be drawn:\nYearly  616       "data_insights": "Data Insights that can be drawn:\nYearly 
            617 trends of crimes against ST's across India.\nIdentification of states  617 trends of crimes against ST's across India.\nIdentification of states 
            618 and districts with the highest and lowest numbers of specific types of  618 and districts with the highest and lowest numbers of specific types of 
            619 crimes.\nComparative analysis of crime rates between different states  619 crimes.\nComparative analysis of crime rates between different states 
            620 or districts.\nAnalyzing patterns and correlations between different  620 or districts.\nAnalyzing patterns and correlations between different 
            621 types of crimes.\nDetermining the efficacy of legal sections (like the  621 types of crimes.\nDetermining the efficacy of legal sections (like the 
            622 Prevention of Atrocities Act or Protection of Civil Rights Act) in  622 Prevention of Atrocities Act or Protection of Civil Rights Act) in 
            623 dealing with crimes against ST's.\nInsights into the most frequent  623 dealing with crimes against ST's.\nInsights into the most frequent 
            624 types of crimes against ST's in specific regions or over tim", 624 types of crimes against ST's in specific regions or over tim",
            625       "data_last_updated": "01-08-2024", 625       "data_last_updated": "01-08-2024",
            626       "data_retreival_date": "2024-07-01 00:00:00", 626       "data_retreival_date": "2024-07-01 00:00:00",
            627       "datastore_active": true, 627       "datastore_active": true,
            628       "description": "The \"Crime against ST's\" dataset provides  628       "description": "The \"Crime against ST's\" dataset provides 
            629 comprehensive data regarding crimes committed against Scheduled Tribes  629 comprehensive data regarding crimes committed against Scheduled Tribes 
            630 (ST) in India. The dataset is sourced from the official database of  630 (ST) in India. The dataset is sourced from the official database of 
            631 the National Crime Records Bureau (NCRB), which collects and presents  631 the National Crime Records Bureau (NCRB), which collects and presents 
            632 nationwide data on crimes. This dataset specifically details the types  632 nationwide data on crimes. This dataset specifically details the types 
            633 of crimes, the number of incidents, and categorizes them based on  633 of crimes, the number of incidents, and categorizes them based on 
            634 their Indian Penal Code (IPC) sections. Data is categorized yearly and  634 their Indian Penal Code (IPC) sections. Data is categorized yearly and 
            635 covers information at the state and district levels.", 635 covers information at the state and district levels.",
            636       "district_no": "923", 636       "district_no": "923",
            637       "format": "CSV", 637       "format": "CSV",
            638       "frequency": "Yearly", 638       "frequency": "Yearly",
            639       "gp_no": "", 639       "gp_no": "",
            640       "granularity": "District", 640       "granularity": "District",
            641       "hash": "", 641       "hash": "",
            642       "id": "8ca57277-5df8-4df6-8883-9f6de0c80c93", 642       "id": "8ca57277-5df8-4df6-8883-9f6de0c80c93",
            643       "idp_ready": true, 643       "idp_ready": true,
            644       "last_modified": "2024-11-20T12:38:23.105487", 644       "last_modified": "2024-11-20T12:38:23.105487",
            645       "lgd_mapping": "yes", 645       "lgd_mapping": "yes",
            646       "metadata_modified": "2024-11-20T12:38:31.799219", 646       "metadata_modified": "2024-11-20T12:38:31.799219",
            647       "methodology": "The dataset is collected by the National Crime  647       "methodology": "The dataset is collected by the National Crime 
            648 Records Bureau (NCRB) from state and district police departments  648 Records Bureau (NCRB) from state and district police departments 
            649 across India. The data is collated based on First Information Reports  649 across India. The data is collated based on First Information Reports 
            650 (FIR) filed in police stations. Each entry represents a crime  650 (FIR) filed in police stations. Each entry represents a crime 
            651 categorized under specific sections of the IPC or other related acts  651 categorized under specific sections of the IPC or other related acts 
            652 and is further broken down by state, district, and year.", 652 and is further broken down by state, district, and year.",
            653       "mimetype": "text/csv", 653       "mimetype": "text/csv",
            654       "mimetype_inner": null, 654       "mimetype_inner": null,
            655       "name": "Districtwise Crime Against STs 2017 onwards", 655       "name": "Districtwise Crime Against STs 2017 onwards",
            656       "no_indicators": "38", 656       "no_indicators": "38",
            657       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 657       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            658       "position": 2, 658       "position": 2,
            659       "resource_type": null, 659       "resource_type": null,
            660       "similar_datasets": [], 660       "similar_datasets": [],
            661       "similar_resources": "", 661       "similar_resources": "",
            662       "size": 1167472, 662       "size": 1167472,
            663       "sku": "ncrb-cii_crime_against_st-dt-yr-aaa", 663       "sku": "ncrb-cii_crime_against_st-dt-yr-aaa",
            664       "state": "active", 664       "state": "active",
            665       "states_uts_no": "36", 665       "states_uts_no": "36",
            666       "tags": [ 666       "tags": [
            667         "Crime Data", 667         "Crime Data",
            668         "Scheduled Tribes", 668         "Scheduled Tribes",
            669         "NCRB", 669         "NCRB",
            670         "IPC", 670         "IPC",
            671         "Crime Trends", 671         "Crime Trends",
            672         "Prevention of Atrocities Act", 672         "Prevention of Atrocities Act",
            673         "Protection of Civil Rights Act" 673         "Protection of Civil Rights Act"
            674       ], 674       ],
            675       "tehsil_no": "", 675       "tehsil_no": "",
            676       "url":  676       "url": 
            677 f6de0c80c93/download/districtwise-crime-against-sts-2017-onwards.csv", 677 f6de0c80c93/download/districtwise-crime-against-sts-2017-onwards.csv",
            678       "url_type": "upload", 678       "url_type": "upload",
            679       "years_covered": "2017-2022" 679       "years_covered": "2017-2022"
            680     }, 680     },
            681     { 681     {
            682       "additional_info": "nan", 682       "additional_info": "nan",
            683       "cache_last_updated": null, 683       "cache_last_updated": null,
            684       "cache_url": null, 684       "cache_url": null,
            685       "created": "2024-09-04T11:10:19.393577", 685       "created": "2024-09-04T11:10:19.393577",
            686       "data_extraction_page":  686       "data_extraction_page": 
            687 "https://ncrb.gov.in/crime-in-india.html", 687 "https://ncrb.gov.in/crime-in-india.html",
            688       "data_insights": "Data Insights that can be drawn:Yearly trends  688       "data_insights": "Data Insights that can be drawn:Yearly trends 
            689 of crimes against Scheduled Castes.Geographical distribution: States  689 of crimes against Scheduled Castes.Geographical distribution: States 
            690 and districts with high or low incidents of specific crimes.Nature of  690 and districts with high or low incidents of specific crimes.Nature of 
            691 crimes: Identifying which types of crimes are more  691 crimes: Identifying which types of crimes are more 
            692 frequent.Comparative analysis of crime categories.Analysis of crimes  692 frequent.Comparative analysis of crime categories.Analysis of crimes 
            693 specific to women and children within the SC community.Insight into  693 specific to women and children within the SC community.Insight into 
            694 the effectiveness of specific acts like SC/ST (Prevention of  694 the effectiveness of specific acts like SC/ST (Prevention of 
            695 Atrocities) Act and Protection of Civil Rights Act, 1955.Correlations,  695 Atrocities) Act and Protection of Civil Rights Act, 1955.Correlations, 
            696 if any, between different types of crimes.", 696 if any, between different types of crimes.",
            697       "data_last_updated": "2024-07-01 00:00:00", 697       "data_last_updated": "2024-07-01 00:00:00",
            698       "data_retreival_date": "2024-08-01 00:00:00", 698       "data_retreival_date": "2024-08-01 00:00:00",
            699       "datastore_active": true, 699       "datastore_active": true,
            700       "description": "This dataset pertains to crimes committed  700       "description": "This dataset pertains to crimes committed 
            701 against Scheduled Castes (SC) in India. It provides detailed data by  701 against Scheduled Castes (SC) in India. It provides detailed data by 
            702 year, state, and district level, further categorized by various crime  702 year, state, and district level, further categorized by various crime 
            703 types defined under different sections of the Indian Penal Code (IPC)  703 types defined under different sections of the Indian Penal Code (IPC) 
            704 and other relevant acts. It serves as a comprehensive repository for  704 and other relevant acts. It serves as a comprehensive repository for 
            705 understanding the nature, frequency, and geographical distribution of  705 understanding the nature, frequency, and geographical distribution of 
            706 such crimes.", 706 such crimes.",
            707       "district_no": "680", 707       "district_no": "680",
            708       "format": "CSV", 708       "format": "CSV",
            709       "frequency": "Yearly", 709       "frequency": "Yearly",
            710       "gp_no": "", 710       "gp_no": "",
            711       "granularity": "District", 711       "granularity": "District",
            712       "hash": "", 712       "hash": "",
            713       "id": "fcc93210-fc71-42b5-b06b-fc2548a8e6e4", 713       "id": "fcc93210-fc71-42b5-b06b-fc2548a8e6e4",
            714       "idp_ready": true, 714       "idp_ready": true,
            715       "last_modified": "2024-09-04T11:10:19.373990", 715       "last_modified": "2024-09-04T11:10:19.373990",
            716       "lgd_mapping": "yes", 716       "lgd_mapping": "yes",
            717       "metadata_modified": "2024-09-04T11:11:17.966102", 717       "metadata_modified": "2024-09-04T11:11:17.966102",
            718       "methodology": "The data is sourced from the National Crime  718       "methodology": "The data is sourced from the National Crime 
            719 Records Bureau (NCRB) of India, a reliable government agency  719 Records Bureau (NCRB) of India, a reliable government agency 
            720 responsible for collecting and analyzing crime data in the country.  720 responsible for collecting and analyzing crime data in the country. 
            721 The dataset is likely compiled based on the records provided by  721 The dataset is likely compiled based on the records provided by 
            722 various police stations and other law enforcement agencies across  722 various police stations and other law enforcement agencies across 
            723 Indian states and territories.", 723 Indian states and territories.",
            724       "mimetype": null, 724       "mimetype": null,
            725       "mimetype_inner": null, 725       "mimetype_inner": null,
            726       "name": "Crimes Against SC 2016", 726       "name": "Crimes Against SC 2016",
            727       "no_indicators": "15", 727       "no_indicators": "15",
            728       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 728       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            729       "position": 3, 729       "position": 3,
            730       "resource_type": null, 730       "resource_type": null,
            731       "similar_resources": "", 731       "similar_resources": "",
            732       "size": 98227, 732       "size": 98227,
            733       "sku": "ncrb-cii_crime_against_sc-dt-yr-prv", 733       "sku": "ncrb-cii_crime_against_sc-dt-yr-prv",
            734       "state": "active", 734       "state": "active",
            735       "states_uts_no": "35", 735       "states_uts_no": "35",
            736       "tehsil_no": "", 736       "tehsil_no": "",
            737       "url":  737       "url": 
            738 3210-fc71-42b5-b06b-fc2548a8e6e4/download/crimes-against-sc-2016.csv", 738 3210-fc71-42b5-b06b-fc2548a8e6e4/download/crimes-against-sc-2016.csv",
            739       "url_type": "upload", 739       "url_type": "upload",
            740       "years_covered": "2016" 740       "years_covered": "2016"
            741     }, 741     },
            742     { 742     {
            743       "additional_info": "nan", 743       "additional_info": "nan",
            744       "cache_last_updated": null, 744       "cache_last_updated": null,
            745       "cache_url": null, 745       "cache_url": null,
            746       "created": "2024-09-04T11:10:40.087906", 746       "created": "2024-09-04T11:10:40.087906",
            747       "data_extraction_page":  747       "data_extraction_page": 
            748 "https://ncrb.gov.in/crime-in-india.html", 748 "https://ncrb.gov.in/crime-in-india.html",
            749       "data_insights": "Data Insights that can be drawn:\nYearly  749       "data_insights": "Data Insights that can be drawn:\nYearly 
            750 trends of crimes against Scheduled Castes.\nGeographical distribution:  750 trends of crimes against Scheduled Castes.\nGeographical distribution: 
            751 States and districts with high or low incidents of specific  751 States and districts with high or low incidents of specific 
            752 crimes.\nNature of crimes: Identifying which types of crimes are more  752 crimes.\nNature of crimes: Identifying which types of crimes are more 
            753 frequent.\nComparative analysis of crime categories.\nAnalysis of  753 frequent.\nComparative analysis of crime categories.\nAnalysis of 
            754 crimes specific to women and children within the SC  754 crimes specific to women and children within the SC 
            755 community.\nInsight into the effectiveness of specific acts like SC/ST  755 community.\nInsight into the effectiveness of specific acts like SC/ST 
            756 (Prevention of Atrocities) Act and Protection of Civil Rights Act,  756 (Prevention of Atrocities) Act and Protection of Civil Rights Act, 
            757 1955.", 757 1955.",
            758       "data_last_updated": "01-08-2024", 758       "data_last_updated": "01-08-2024",
            759       "data_retreival_date": "2024-07-01 00:00:00", 759       "data_retreival_date": "2024-07-01 00:00:00",
            760       "datastore_active": true, 760       "datastore_active": true,
            761       "description": "This dataset pertains to crimes committed  761       "description": "This dataset pertains to crimes committed 
            762 against Scheduled Castes (SC) in India. It provides detailed data by  762 against Scheduled Castes (SC) in India. It provides detailed data by 
            763 year, state, and district level, further categorized by various crime  763 year, state, and district level, further categorized by various crime 
            764 types defined under different sections of the Indian Penal Code (IPC)  764 types defined under different sections of the Indian Penal Code (IPC) 
            765 and other relevant acts. It serves as a comprehensive repository for  765 and other relevant acts. It serves as a comprehensive repository for 
            766 understanding the nature, frequency, and geographical distribution of  766 understanding the nature, frequency, and geographical distribution of 
            767 such crimes.", 767 such crimes.",
            768       "district_no": "751", 768       "district_no": "751",
            769       "format": "CSV", 769       "format": "CSV",
            770       "frequency": "Yearly", 770       "frequency": "Yearly",
            771       "gp_no": "", 771       "gp_no": "",
            772       "granularity": "District", 772       "granularity": "District",
            773       "hash": "", 773       "hash": "",
            774       "id": "d0bb2dbb-5aea-4b01-8c7e-6f59377959d4", 774       "id": "d0bb2dbb-5aea-4b01-8c7e-6f59377959d4",
            775       "idp_ready": true, 775       "idp_ready": true,
            776       "last_modified": "2024-11-20T12:38:48.286762", 776       "last_modified": "2024-11-20T12:38:48.286762",
            777       "lgd_mapping": "yes", 777       "lgd_mapping": "yes",
            778       "metadata_modified": "2024-11-20T12:38:58.088857", 778       "metadata_modified": "2024-11-20T12:38:58.088857",
            779       "methodology": "The data is sourced from the National Crime  779       "methodology": "The data is sourced from the National Crime 
            780 Records Bureau (NCRB) of India, a reliable government agency  780 Records Bureau (NCRB) of India, a reliable government agency 
            781 responsible for collecting and analyzing crime data in the country.  781 responsible for collecting and analyzing crime data in the country. 
            782 The dataset is likely compiled based on the records provided by  782 The dataset is likely compiled based on the records provided by 
            783 various police stations and other law enforcement agencies across  783 various police stations and other law enforcement agencies across 
            784 Indian states and territories.", 784 Indian states and territories.",
            785       "mimetype": "text/csv", 785       "mimetype": "text/csv",
            786       "mimetype_inner": null, 786       "mimetype_inner": null,
            787       "name": "Districtwise Crimes Against SC 2017 onwards", 787       "name": "Districtwise Crimes Against SC 2017 onwards",
            788       "no_indicators": "38", 788       "no_indicators": "38",
            789       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 789       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            790       "position": 4, 790       "position": 4,
            791       "resource_type": null, 791       "resource_type": null,
            792       "similar_datasets": [], 792       "similar_datasets": [],
            793       "similar_resources": "", 793       "similar_resources": "",
            794       "size": 1138241, 794       "size": 1138241,
            795       "sku": "ncrb-cii_crime_against_sc-dt-yr-aaa", 795       "sku": "ncrb-cii_crime_against_sc-dt-yr-aaa",
            796       "state": "active", 796       "state": "active",
            797       "states_uts_no": "36", 797       "states_uts_no": "36",
            798       "tags": [ 798       "tags": [
            799         "Crime Statistics", 799         "Crime Statistics",
            800         "Scheduled Castes", 800         "Scheduled Castes",
            801         "NCRB", 801         "NCRB",
            802         "Indian Penal Code", 802         "Indian Penal Code",
            803         "Gender-based Crimes", 803         "Gender-based Crimes",
            804         "Child Abuse", 804         "Child Abuse",
            805         "Civil Rights" 805         "Civil Rights"
            806       ], 806       ],
            807       "tehsil_no": "", 807       "tehsil_no": "",
            808       "url":  808       "url": 
            809 f59377959d4/download/districtwise-crimes-against-sc-2017-onwards.csv", 809 f59377959d4/download/districtwise-crimes-against-sc-2017-onwards.csv",
            810       "url_type": "upload", 810       "url_type": "upload",
            811       "years_covered": "2017-2022" 811       "years_covered": "2017-2022"
            812     }, 812     },
            813     { 813     {
            814       "additional_info": "nan", 814       "additional_info": "nan",
            815       "cache_last_updated": null, 815       "cache_last_updated": null,
            816       "cache_url": null, 816       "cache_url": null,
            817       "created": "2024-09-04T11:17:23.851126", 817       "created": "2024-09-04T11:17:23.851126",
            818       "data_extraction_page":  818       "data_extraction_page": 
            819 "https://ncrb.gov.in/crime-in-india.html", 819 "https://ncrb.gov.in/crime-in-india.html",
            820       "data_insights": "These are a few insights that can be drawn  820       "data_insights": "These are a few insights that can be drawn 
            821 from the Crimes against Women data:1. Trends Over Years: Analyzing the  821 from the Crimes against Women data:1. Trends Over Years: Analyzing the 
            822 data over different years can reveal trends in crime rates against  822 data over different years can reveal trends in crime rates against 
            823 women in various districts.2. State-wise and District-wise Comparison:  823 women in various districts.2. State-wise and District-wise Comparison: 
            824 Comparing crime rates between states and districts can provide  824 Comparing crime rates between states and districts can provide 
            825 insights into regional variations in women's safety.3. Identification  825 insights into regional variations in women's safety.3. Identification 
            826 of High-Risk Areas: Identifying districts or states with higher  826 of High-Risk Areas: Identifying districts or states with higher 
            827 incidences of specific crimes can help prioritize law enforcement and  827 incidences of specific crimes can help prioritize law enforcement and 
            828 support services.4. Categorization of Crimes: The dataset covers a  828 support services.4. Categorization of Crimes: The dataset covers a 
            829 wide range of crimes, allowing for an in-depth analysis of different  829 wide range of crimes, allowing for an in-depth analysis of different 
            830 types of offenses against women.", 830 types of offenses against women.",
            831       "data_last_updated": "2022-07-01 00:00:00", 831       "data_last_updated": "2022-07-01 00:00:00",
            832       "data_retreival_date": "2022-08-01 00:00:00", 832       "data_retreival_date": "2022-08-01 00:00:00",
            833       "datastore_active": true, 833       "datastore_active": true,
            834       "description": "Data on crimes against women in each district  834       "description": "Data on crimes against women in each district 
            835 holds immense significance for lawmaking and policy formulation. It  835 holds immense significance for lawmaking and policy formulation. It 
            836 provides a clear understanding of the prevalence, trends, and patterns  836 provides a clear understanding of the prevalence, trends, and patterns 
            837 of such crimes, enabling evidence-based decision-making. This data  837 of such crimes, enabling evidence-based decision-making. This data 
            838 helps lawmakers identify areas with high incidence rates, facilitating  838 helps lawmakers identify areas with high incidence rates, facilitating 
            839 the allocation of resources and intervention strategies where they are  839 the allocation of resources and intervention strategies where they are 
            840 needed most. It also aids in evaluating the effectiveness of existing  840 needed most. It also aids in evaluating the effectiveness of existing 
            841 legal measures and the need for new legislation. Furthermore, this  841 legal measures and the need for new legislation. Furthermore, this 
            842 data raises awareness about the challenges women face, fostering a  842 data raises awareness about the challenges women face, fostering a 
            843 societal and legislative commitment to gender equality and women's  843 societal and legislative commitment to gender equality and women's 
            844 safety. Ultimately, it plays a pivotal role in shaping laws and  844 safety. Ultimately, it plays a pivotal role in shaping laws and 
            845 policies aimed at preventing and addressing crimes against women.", 845 policies aimed at preventing and addressing crimes against women.",
            846       "district_no": "684", 846       "district_no": "684",
            847       "format": "CSV", 847       "format": "CSV",
            848       "frequency": "Yearly", 848       "frequency": "Yearly",
            849       "gp_no": "", 849       "gp_no": "",
            850       "granularity": "District", 850       "granularity": "District",
            851       "hash": "", 851       "hash": "",
            852       "id": "0f12840c-47cf-407f-b132-6410a3c331ee", 852       "id": "0f12840c-47cf-407f-b132-6410a3c331ee",
            853       "idp_ready": true, 853       "idp_ready": true,
            854       "last_modified": "2024-09-04T11:17:23.818835", 854       "last_modified": "2024-09-04T11:17:23.818835",
            855       "lgd_mapping": "yes", 855       "lgd_mapping": "yes",
            856       "metadata_modified": "2024-09-04T11:23:42.612754", 856       "metadata_modified": "2024-09-04T11:23:42.612754",
            857       "methodology": "The methodology for collecting data on crimes  857       "methodology": "The methodology for collecting data on crimes 
            858 against women in districts is multifaceted. It begins with law  858 against women in districts is multifaceted. It begins with law 
            859 enforcement, where police file reports based on victim statements.  859 enforcement, where police file reports based on victim statements. 
            860 Medical examinations are conducted in cases of physical violence,  860 Medical examinations are conducted in cases of physical violence, 
            861 providing crucial evidence. Specialized counselors and NGOs offer  861 providing crucial evidence. Specialized counselors and NGOs offer 
            862 support and often report incidents. Legal processes track cases, and a  862 support and often report incidents. Legal processes track cases, and a 
            863 dedicated database records all data, prioritizing victim privacy.  863 dedicated database records all data, prioritizing victim privacy. 
            864 Periodic audits maintain data accuracy. This comprehensive approach  864 Periodic audits maintain data accuracy. This comprehensive approach 
            865 ensures the thorough documentation of crimes against women, enabling  865 ensures the thorough documentation of crimes against women, enabling 
            866 informed policymaking and targeted interventions for women's safety  866 informed policymaking and targeted interventions for women's safety 
            867 and rights.", 867 and rights.",
            868       "mimetype": null, 868       "mimetype": null,
            869       "mimetype_inner": null, 869       "mimetype_inner": null,
            870       "name": "Districtwise crime against women 2016", 870       "name": "Districtwise crime against women 2016",
            871       "no_indicators": "25", 871       "no_indicators": "25",
            872       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 872       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            873       "position": 5, 873       "position": 5,
            874       "resource_type": null, 874       "resource_type": null,
            875       "similar_resources": "", 875       "similar_resources": "",
            876       "size": 114982, 876       "size": 114982,
            877       "sku": "ncrb-cii_crime_against_women-dt-yr-prv", 877       "sku": "ncrb-cii_crime_against_women-dt-yr-prv",
            878       "state": "active", 878       "state": "active",
            879       "states_uts_no": "36", 879       "states_uts_no": "36",
            880       "tehsil_no": "", 880       "tehsil_no": "",
            881       "url":  881       "url": 
            882 b132-6410a3c331ee/download/districtwise-crime-against-women-2016.csv", 882 b132-6410a3c331ee/download/districtwise-crime-against-women-2016.csv",
            883       "url_type": "upload", 883       "url_type": "upload",
            884       "years_covered": "2016" 884       "years_covered": "2016"
            885     }, 885     },
            886     { 886     {
            887       "additional_info": "nan", 887       "additional_info": "nan",
            888       "cache_last_updated": null, 888       "cache_last_updated": null,
            889       "cache_url": null, 889       "cache_url": null,
            890       "created": "2024-09-04T11:22:30.008886", 890       "created": "2024-09-04T11:22:30.008886",
            891       "data_extraction_page":  891       "data_extraction_page": 
            892 "https://ncrb.gov.in/crime-in-india.html", 892 "https://ncrb.gov.in/crime-in-india.html",
            893       "data_insights": "These are a few insights that can be drawn  893       "data_insights": "These are a few insights that can be drawn 
            n 894 from the Crimes against Women data:1. Trends Over Years: Analyzing the  n 894 from the Crimes against Women data:\n1. Trends Over Years: Analyzing 
            895 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.2. State-wise and District-wise Comparison:  896 women in various districts.\n2. State-wise and District-wise 
            897 Comparing crime rates between states and districts can provide  897 Comparison: Comparing crime rates between states and districts can 
            898 insights into regional variations in women's safety.3. Identification  898 provide insights into regional variations in women's safety.\n3. 
            899 of High-Risk Areas: Identifying districts or states with higher  899 Identification of High-Risk Areas: Identifying districts or states 
            900 incidences of specific crimes can help prioritize law enforcement and  900 with higher incidences of specific crimes can help prioritize law 
            901 support services.4. Categorization of Crimes: The dataset covers a  901 enforcement and support services.\n4. Categorization of Crimes: The 
            902 wide range of crimes, allowing for an in-depth analysis of different  902 dataset covers a wide range of crimes, allowing for an in-depth 
            903 types of offenses against women.", 903 analysis of different types of offenses against women.",
            904       "data_last_updated": "2022-08-01 00:00:00", 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,
            n 927       "last_modified": "2024-09-04T11:22:29.972504", n 927       "last_modified": "2024-11-21T06:06:57.415556",
            928       "lgd_mapping": "yes", 928       "lgd_mapping": "yes",
            n 929       "metadata_modified": "2024-09-04T11:24:14.023302", n 929       "metadata_modified": "2024-11-21T06:06:57.463409",
            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.",
            n 941       "mimetype": null, n 941       "mimetype": "text/csv",
            942       "mimetype_inner": null, 942       "mimetype_inner": null,
            n 943       "name": "Districtwise crime against women 2017 onwards", n 943       "name": "Districtwise Crime Against Women 2017 onwards",
            944       "no_indicators": "42", 944       "no_indicators": "42",
            945       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 945       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            946       "position": 6, 946       "position": 6,
            947       "resource_type": null, 947       "resource_type": null,
            948       "similar_resources": "", 948       "similar_resources": "",
            t 949       "size": 1249595, t 949       "size": 1252089,
            950       "sku": "ncrb-cii_crime_against_women-dt-yr-rct", 950       "sku": "ncrb-cii_crime_against_women-dt-yr-aaa",
            951       "state": "active", 951       "state": "active",
            952       "states_uts_no": "36", 952       "states_uts_no": "36",
            953       "tehsil_no": "", 953       "tehsil_no": "",
            954       "url":  954       "url": 
            955 419e93b6a/download/districtwise-crime-against-women-2017-onwards.csv", 955 419e93b6a/download/districtwise-crime-against-women-2017-onwards.csv",
            956       "url_type": "upload", 956       "url_type": "upload",
            957       "years_covered": "2017-2022" 957       "years_covered": "2017-2022"
            958     }, 958     },
            959     { 959     {
            960       "additional_info": "nan", 960       "additional_info": "nan",
            961       "cache_last_updated": null, 961       "cache_last_updated": null,
            962       "cache_url": null, 962       "cache_url": null,
            963       "created": "2024-09-04T11:56:44.468033", 963       "created": "2024-09-04T11:56:44.468033",
            964       "data_extraction_page":  964       "data_extraction_page": 
            965 "https://ncrb.gov.in/crime-in-india.html", 965 "https://ncrb.gov.in/crime-in-india.html",
            966       "data_insights": "The insights gleaned from cybercrime data are  966       "data_insights": "The insights gleaned from cybercrime data are 
            967 highly valuable. They help identify patterns and trends in  967 highly valuable. They help identify patterns and trends in 
            968 cybercrimes, enabling law enforcement agencies to focus their efforts  968 cybercrimes, enabling law enforcement agencies to focus their efforts 
            969 on areas with higher incidence rates. Moreover, this data aids in  969 on areas with higher incidence rates. Moreover, this data aids in 
            970 understanding the types of cybercrimes that are most prevalent, such  970 understanding the types of cybercrimes that are most prevalent, such 
            971 as phishing, identity theft, or online fraud. Such insights are  971 as phishing, identity theft, or online fraud. Such insights are 
            972 crucial for developing effective preventive measures, enhancing  972 crucial for developing effective preventive measures, enhancing 
            973 cybersecurity awareness, and strengthening legal frameworks. They also  973 cybersecurity awareness, and strengthening legal frameworks. They also 
            974 highlight the need for educational initiatives and resources to  974 highlight the need for educational initiatives and resources to 
            975 empower individuals and organizations to protect themselves from cyber  975 empower individuals and organizations to protect themselves from cyber 
            976 threats, ultimately contributing to a safer digital environment.", 976 threats, ultimately contributing to a safer digital environment.",
            977       "data_last_updated": "01-08-2024", 977       "data_last_updated": "01-08-2024",
            978       "data_retreival_date": "2024-07-01 00:00:00", 978       "data_retreival_date": "2024-07-01 00:00:00",
            979       "datastore_active": true, 979       "datastore_active": true,
            980       "description": "The data for the count of cybercrimes in each  980       "description": "The data for the count of cybercrimes in each 
            981 district is collected from multiple sources, including law enforcement  981 district is collected from multiple sources, including law enforcement 
            982 agencies, cybercrime units, and online reporting platforms. These  982 agencies, cybercrime units, and online reporting platforms. These 
            983 sources document various cybercrimes, such as hacking, online fraud,  983 sources document various cybercrimes, such as hacking, online fraud, 
            984 identity theft, and cyberbullying. The data includes details about the  984 identity theft, and cyberbullying. The data includes details about the 
            985 nature of the crime, the location of the incident, the parties  985 nature of the crime, the location of the incident, the parties 
            986 involved, and the outcomes of investigations. It is essential for law  986 involved, and the outcomes of investigations. It is essential for law 
            987 enforcement, policymakers, and cybersecurity experts to monitor and  987 enforcement, policymakers, and cybersecurity experts to monitor and 
            988 analyze this data to develop strategies for preventing and addressing  988 analyze this data to develop strategies for preventing and addressing 
            989 cybercrimes effectively. Additionally, public awareness campaigns and  989 cybercrimes effectively. Additionally, public awareness campaigns and 
            990 educational programs are often based on these statistics to promote  990 educational programs are often based on these statistics to promote 
            991 online safety.", 991 online safety.",
            992       "district_no": "752", 992       "district_no": "752",
            993       "format": "CSV", 993       "format": "CSV",
            994       "frequency": "Yearly", 994       "frequency": "Yearly",
            995       "gp_no": "", 995       "gp_no": "",
            996       "granularity": "District", 996       "granularity": "District",
            997       "hash": "", 997       "hash": "",
            998       "id": "2353f85d-372a-4bb2-8617-32775891f39b", 998       "id": "2353f85d-372a-4bb2-8617-32775891f39b",
            999       "idp_ready": true, 999       "idp_ready": true,
            1000       "last_modified": "2024-11-20T12:39:21.135636", 1000       "last_modified": "2024-11-20T12:39:21.135636",
            1001       "lgd_mapping": "yes", 1001       "lgd_mapping": "yes",
            1002       "metadata_modified": "2024-11-20T12:39:30.316885", 1002       "metadata_modified": "2024-11-20T12:39:30.316885",
            1003       "methodology": "The process of generating data for cybercrimes  1003       "methodology": "The process of generating data for cybercrimes 
            1004 in each district is intricate. It starts with incident reporting by  1004 in each district is intricate. It starts with incident reporting by 
            1005 local authorities and individuals, followed by data collection and  1005 local authorities and individuals, followed by data collection and 
            1006 maintenance by law enforcement agencies. Legal involvement, including  1006 maintenance by law enforcement agencies. Legal involvement, including 
            1007 interviews and digital forensics, supplements the data. Each district  1007 interviews and digital forensics, supplements the data. Each district 
            1008 maintains its records, and this information is periodically reported  1008 maintains its records, and this information is periodically reported 
            1009 to a central agency. Data undergoes classification, analysis, and  1009 to a central agency. Data undergoes classification, analysis, and 
            1010 anonymization, shedding light on trends and areas with high cybercrime  1010 anonymization, shedding light on trends and areas with high cybercrime 
            1011 rates. Insights guide prevention strategies, awareness campaigns, and  1011 rates. Insights guide prevention strategies, awareness campaigns, and 
            1012 legislation. The public's role in reporting and practicing safe online  1012 legislation. The public's role in reporting and practicing safe online 
            1013 behavior is emphasized, while resource allocation benefits from  1013 behavior is emphasized, while resource allocation benefits from 
            1014 understanding local cybercrime trends.", 1014 understanding local cybercrime trends.",
            1015       "mimetype": "text/csv", 1015       "mimetype": "text/csv",
            1016       "mimetype_inner": null, 1016       "mimetype_inner": null,
            1017       "name": "Districtwise Cyber Crimes 2017 onwards", 1017       "name": "Districtwise Cyber Crimes 2017 onwards",
            1018       "no_indicators": "41", 1018       "no_indicators": "41",
            1019       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 1019       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            1020       "position": 7, 1020       "position": 7,
            1021       "resource_type": null, 1021       "resource_type": null,
            1022       "similar_datasets": [], 1022       "similar_datasets": [],
            1023       "similar_resources": "", 1023       "similar_resources": "",
            1024       "size": 1203753, 1024       "size": 1203753,
            1025       "sku": "ncrb-cii_cyber_crimes-dt-yr-aaa", 1025       "sku": "ncrb-cii_cyber_crimes-dt-yr-aaa",
            1026       "state": "active", 1026       "state": "active",
            1027       "states_uts_no": "36", 1027       "states_uts_no": "36",
            1028       "tags": [ 1028       "tags": [
            1029         "Cyber crimes", 1029         "Cyber crimes",
            1030         "identity theft", 1030         "identity theft",
            1031         "cyber terrorism", 1031         "cyber terrorism",
            1032         "gambling", 1032         "gambling",
            1033         "frogery", 1033         "frogery",
            1034         "fraud" 1034         "fraud"
            1035       ], 1035       ],
            1036       "tehsil_no": "", 1036       "tehsil_no": "",
            1037       "url":  1037       "url": 
            1038 617-32775891f39b/download/districtwise-cyber-crimes-2017-onwards.csv", 1038 617-32775891f39b/download/districtwise-cyber-crimes-2017-onwards.csv",
            1039       "url_type": "upload", 1039       "url_type": "upload",
            1040       "years_covered": "2017-2022" 1040       "years_covered": "2017-2022"
            1041     }, 1041     },
            1042     { 1042     {
            1043       "additional_info": "nan", 1043       "additional_info": "nan",
            1044       "cache_last_updated": null, 1044       "cache_last_updated": null,
            1045       "cache_url": null, 1045       "cache_url": null,
            1046       "created": "2024-09-04T12:01:40.694431", 1046       "created": "2024-09-04T12:01:40.694431",
            1047       "data_extraction_page":  1047       "data_extraction_page": 
            1048 "https://ncrb.gov.in/crime-in-india.html", 1048 "https://ncrb.gov.in/crime-in-india.html",
            1049       "data_insights": "Analyzing the count of IPC (Indian Penal Code)  1049       "data_insights": "Analyzing the count of IPC (Indian Penal Code) 
            1050 crimes in each district provides valuable insights into the law and  1050 crimes in each district provides valuable insights into the law and 
            1051 order situation. Identifying districts with the highest crime rates  1051 order situation. Identifying districts with the highest crime rates 
            1052 allows law enforcement agencies to allocate resources effectively to  1052 allows law enforcement agencies to allocate resources effectively to 
            1053 address security challenges in those areas. Examining the data over  1053 address security challenges in those areas. Examining the data over 
            1054 time can reveal whether crime rates are increasing, decreasing, or  1054 time can reveal whether crime rates are increasing, decreasing, or 
            1055 remaining stable in specific districts. This trend analysis helps in  1055 remaining stable in specific districts. This trend analysis helps in 
            1056 understanding the effectiveness of crime prevention efforts. So, the  1056 understanding the effectiveness of crime prevention efforts. So, the 
            1057 count of IPC crimes in each district provides a wealth of insights  1057 count of IPC crimes in each district provides a wealth of insights 
            1058 that inform law enforcement, policymaking, and community engagement  1058 that inform law enforcement, policymaking, and community engagement 
            1059 efforts. It plays a crucial role in maintaining public safety and  1059 efforts. It plays a crucial role in maintaining public safety and 
            1060 ensuring effective law and order across regions.", 1060 ensuring effective law and order across regions.",
            1061       "data_last_updated": "2024-08-01 00:00:00", 1061       "data_last_updated": "2024-08-01 00:00:00",
            1062       "data_retreival_date": "2024-07-01 00:00:00", 1062       "data_retreival_date": "2024-07-01 00:00:00",
            1063       "datastore_active": true, 1063       "datastore_active": true,
            1064       "description": "The data of IPC (Indian Penal Code) crimes in  1064       "description": "The data of IPC (Indian Penal Code) crimes in 
            1065 each district is a crucial aspect of understanding a region's law and  1065 each district is a crucial aspect of understanding a region's law and 
            1066 order situation. This data provides valuable insights into the  1066 order situation. This data provides valuable insights into the 
            1067 prevalence and nature of criminal activities across districts. Data on  1067 prevalence and nature of criminal activities across districts. Data on 
            1068 IPC crimes in each district is a powerful tool for maintaining law and  1068 IPC crimes in each district is a powerful tool for maintaining law and 
            1069 order, devising crime prevention strategies, and ensuring the safety  1069 order, devising crime prevention strategies, and ensuring the safety 
            1070 and security of citizens. It serves as the foundation for  1070 and security of citizens. It serves as the foundation for 
            1071 evidence-based policymaking and targeted law enforcement efforts.", 1071 evidence-based policymaking and targeted law enforcement efforts.",
            1072       "district_no": "684", 1072       "district_no": "684",
            1073       "format": "CSV", 1073       "format": "CSV",
            1074       "frequency": "Yearly", 1074       "frequency": "Yearly",
            1075       "gp_no": "", 1075       "gp_no": "",
            1076       "granularity": "District", 1076       "granularity": "District",
            1077       "hash": "", 1077       "hash": "",
            1078       "id": "7d5e2cc6-a704-4248-aa44-13d7186f847c", 1078       "id": "7d5e2cc6-a704-4248-aa44-13d7186f847c",
            1079       "idp_ready": true, 1079       "idp_ready": true,
            1080       "last_modified": "2024-09-04T12:01:40.654455", 1080       "last_modified": "2024-09-04T12:01:40.654455",
            1081       "lgd_mapping": "yes", 1081       "lgd_mapping": "yes",
            1082       "metadata_modified": "2024-09-05T04:27:21.431963", 1082       "metadata_modified": "2024-09-05T04:27:21.431963",
            1083       "methodology": "The methodology for collecting data on IPC  1083       "methodology": "The methodology for collecting data on IPC 
            1084 (Indian Penal Code) crimes in districts is meticulous and systematic.  1084 (Indian Penal Code) crimes in districts is meticulous and systematic. 
            1085 It begins with reports from various sources, which law enforcement  1085 It begins with reports from various sources, which law enforcement 
            1086 agencies receive and use to register FIRs (First Information Reports).  1086 agencies receive and use to register FIRs (First Information Reports). 
            1087 Crimes are then categorized by relevant IPC sections and carefully  1087 Crimes are then categorized by relevant IPC sections and carefully 
            1088 documented. Trained personnel input this information into a central  1088 documented. Trained personnel input this information into a central 
            1089 database, subjecting it to thorough quality control and privacy  1089 database, subjecting it to thorough quality control and privacy 
            1090 safeguards. The data is shared with government agencies and the public  1090 safeguards. The data is shared with government agencies and the public 
            1091 for research purposes, aiding law enforcement, resource allocation,  1091 for research purposes, aiding law enforcement, resource allocation, 
            1092 and crime prevention. Regular reviews and technology integration  1092 and crime prevention. Regular reviews and technology integration 
            1093 enhance the effectiveness of this methodology, ensuring accurate and  1093 enhance the effectiveness of this methodology, ensuring accurate and 
            1094 privacy-compliant crime data collection and analysis.", 1094 privacy-compliant crime data collection and analysis.",
            1095       "mimetype": null, 1095       "mimetype": null,
            1096       "mimetype_inner": null, 1096       "mimetype_inner": null,
            1097       "name": "Districtwise IPC crimes 2016", 1097       "name": "Districtwise IPC crimes 2016",
            1098       "no_indicators": "34", 1098       "no_indicators": "34",
            1099       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 1099       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            1100       "position": 8, 1100       "position": 8,
            1101       "resource_type": null, 1101       "resource_type": null,
            1102       "similar_resources": "", 1102       "similar_resources": "",
            1103       "size": 177260, 1103       "size": 177260,
            1104       "sku": "ncrb-cii_ipc_crimes-dt-yr-prv", 1104       "sku": "ncrb-cii_ipc_crimes-dt-yr-prv",
            1105       "state": "active", 1105       "state": "active",
            1106       "states_uts_no": "35", 1106       "states_uts_no": "35",
            1107       "tehsil_no": "", 1107       "tehsil_no": "",
            1108       "url":  1108       "url": 
            1109 704-4248-aa44-13d7186f847c/download/districtwise-ipc-crimes-2016.csv", 1109 704-4248-aa44-13d7186f847c/download/districtwise-ipc-crimes-2016.csv",
            1110       "url_type": "upload", 1110       "url_type": "upload",
            1111       "years_covered": "2016" 1111       "years_covered": "2016"
            1112     }, 1112     },
            1113     { 1113     {
            1114       "additional_info": "nan", 1114       "additional_info": "nan",
            1115       "cache_last_updated": null, 1115       "cache_last_updated": null,
            1116       "cache_url": null, 1116       "cache_url": null,
            1117       "created": "2024-09-04T17:56:31.468140", 1117       "created": "2024-09-04T17:56:31.468140",
            1118       "data_extraction_page":  1118       "data_extraction_page": 
            1119 "https://ncrb.gov.in/crime-in-india.html", 1119 "https://ncrb.gov.in/crime-in-india.html",
            1120       "data_insights": "Data Insights that can be drawn:Distribution  1120       "data_insights": "Data Insights that can be drawn:Distribution 
            1121 of missing persons based on gender across different states and  1121 of missing persons based on gender across different states and 
            1122 districts.Age-wise breakdown of missing persons which can shed light  1122 districts.Age-wise breakdown of missing persons which can shed light 
            1123 on the age groups that are most vulnerable.Comparative analysis  1123 on the age groups that are most vulnerable.Comparative analysis 
            1124 between states and districts to identify regions with high numbers of  1124 between states and districts to identify regions with high numbers of 
            1125 missing persons.Gender-wise distribution in specific age groups to  1125 missing persons.Gender-wise distribution in specific age groups to 
            1126 understand if there's a significant disparity.Analysis of total  1126 understand if there's a significant disparity.Analysis of total 
            1127 missing children vs. adults can help in strategizing preventive  1127 missing children vs. adults can help in strategizing preventive 
            1128 measures for the vulnerable age groups.", 1128 measures for the vulnerable age groups.",
            1129       "data_last_updated": "2024-08-01 00:00:00", 1129       "data_last_updated": "2024-08-01 00:00:00",
            1130       "data_retreival_date": "2024-07-01 00:00:00", 1130       "data_retreival_date": "2024-07-01 00:00:00",
            1131       "datastore_active": true, 1131       "datastore_active": true,
            1132       "description": "The \"Districtwise Missing Persons 2021\"  1132       "description": "The \"Districtwise Missing Persons 2021\" 
            1133 dataset provides comprehensive data regarding individuals who went  1133 dataset provides comprehensive data regarding individuals who went 
            1134 missing in different states and districts of India during the year  1134 missing in different states and districts of India during the year 
            1135 2021. The dataset segregates the missing persons based on gender  1135 2021. The dataset segregates the missing persons based on gender 
            1136 (Male, Female, Transgender) and further categorizes them based on age  1136 (Male, Female, Transgender) and further categorizes them based on age 
            1137 groups. This helps in understanding the demographics of missing  1137 groups. This helps in understanding the demographics of missing 
            1138 persons on a district and state level for the mentioned year.", 1138 persons on a district and state level for the mentioned year.",
            1139       "district_no": "731", 1139       "district_no": "731",
            1140       "format": "CSV", 1140       "format": "CSV",
            1141       "frequency": "Yearly", 1141       "frequency": "Yearly",
            1142       "gp_no": "", 1142       "gp_no": "",
            1143       "granularity": "District", 1143       "granularity": "District",
            1144       "hash": "", 1144       "hash": "",
            1145       "id": "90b83f06-7f08-4bc2-8ffb-4859129476bb", 1145       "id": "90b83f06-7f08-4bc2-8ffb-4859129476bb",
            1146       "idp_ready": true, 1146       "idp_ready": true,
            1147       "last_modified": "2024-09-04T17:56:31.428293", 1147       "last_modified": "2024-09-04T17:56:31.428293",
            1148       "lgd_mapping": "yes", 1148       "lgd_mapping": "yes",
            1149       "metadata_modified": "2024-09-05T04:27:56.155180", 1149       "metadata_modified": "2024-09-05T04:27:56.155180",
            1150       "methodology": "The dataset is sourced from the official website  1150       "methodology": "The dataset is sourced from the official website 
            1151 of the National Crime Records Bureau (NCRB) of India. NCRB collates  1151 of the National Crime Records Bureau (NCRB) of India. NCRB collates 
            1152 this data from various state and district police records. It is  1152 this data from various state and district police records. It is 
            1153 important to note that the data might be subject to changes based on  1153 important to note that the data might be subject to changes based on 
            1154 further verifications and updates from respective state and district  1154 further verifications and updates from respective state and district 
            1155 authorities.", 1155 authorities.",
            1156       "mimetype": null, 1156       "mimetype": null,
            1157       "mimetype_inner": null, 1157       "mimetype_inner": null,
            1158       "name": "Districtwise Missing Persons 2017-2020", 1158       "name": "Districtwise Missing Persons 2017-2020",
            1159       "no_indicators": "32", 1159       "no_indicators": "32",
            1160       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 1160       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            1161       "position": 9, 1161       "position": 9,
            1162       "resource_type": null, 1162       "resource_type": null,
            1163       "similar_resources": "", 1163       "similar_resources": "",
            1164       "size": 520708, 1164       "size": 520708,
            1165       "sku": "ncrb-cii_missing_persons-dt-yr-prv", 1165       "sku": "ncrb-cii_missing_persons-dt-yr-prv",
            1166       "state": "active", 1166       "state": "active",
            1167       "states_uts_no": "36", 1167       "states_uts_no": "36",
            1168       "tehsil_no": "", 1168       "tehsil_no": "",
            1169       "url":  1169       "url": 
            1170 8ffb-4859129476bb/download/districtwise-missing-persons-20172020.csv", 1170 8ffb-4859129476bb/download/districtwise-missing-persons-20172020.csv",
            1171       "url_type": "upload", 1171       "url_type": "upload",
            1172       "years_covered": "2017-2020" 1172       "years_covered": "2017-2020"
            1173     }, 1173     },
            1174     { 1174     {
            1175       "additional_info": "nan", 1175       "additional_info": "nan",
            1176       "cache_last_updated": null, 1176       "cache_last_updated": null,
            1177       "cache_url": null, 1177       "cache_url": null,
            1178       "created": "2024-09-04T17:58:14.920260", 1178       "created": "2024-09-04T17:58:14.920260",
            1179       "data_extraction_page":  1179       "data_extraction_page": 
            1180 "https://ncrb.gov.in/crime-in-india.html", 1180 "https://ncrb.gov.in/crime-in-india.html",
            1181       "data_insights": "Data Insights that can be drawn:\nDistribution  1181       "data_insights": "Data Insights that can be drawn:\nDistribution 
            1182 of missing persons based on gender across different states and  1182 of missing persons based on gender across different states and 
            1183 districts.\nAge-wise breakdown of missing persons which can shed light  1183 districts.\nAge-wise breakdown of missing persons which can shed light 
            1184 on the age groups that are most vulnerable.\nComparative analysis  1184 on the age groups that are most vulnerable.\nComparative analysis 
            1185 between states and districts to identify regions with high numbers of  1185 between states and districts to identify regions with high numbers of 
            1186 missing persons.\nGender-wise distribution in specific age groups to  1186 missing persons.\nGender-wise distribution in specific age groups to 
            1187 understand if there's a significant disparity.\nAnalysis of total  1187 understand if there's a significant disparity.\nAnalysis of total 
            1188 missing children vs. adults can help in strategizing preventive  1188 missing children vs. adults can help in strategizing preventive 
            1189 measures for the vulnerable age groups.", 1189 measures for the vulnerable age groups.",
            1190       "data_last_updated": "2024-08-01 00:00:00", 1190       "data_last_updated": "2024-08-01 00:00:00",
            1191       "data_retreival_date": "2024-07-01 00:00:00", 1191       "data_retreival_date": "2024-07-01 00:00:00",
            1192       "datastore_active": true, 1192       "datastore_active": true,
            1193       "description": "The \"Districtwise Missing Persons 2021\"  1193       "description": "The \"Districtwise Missing Persons 2021\" 
            1194 dataset provides comprehensive data regarding individuals who went  1194 dataset provides comprehensive data regarding individuals who went 
            1195 missing in different states and districts of India during the year  1195 missing in different states and districts of India during the year 
            1196 2021. The dataset segregates the missing persons based on gender  1196 2021. The dataset segregates the missing persons based on gender 
            1197 (Male, Female, Transgender) and further categorizes them based on age  1197 (Male, Female, Transgender) and further categorizes them based on age 
            1198 groups. This helps in understanding the demographics of missing  1198 groups. This helps in understanding the demographics of missing 
            1199 persons on a district and state level for the mentioned year.", 1199 persons on a district and state level for the mentioned year.",
            1200       "district_no": "753", 1200       "district_no": "753",
            1201       "format": "CSV", 1201       "format": "CSV",
            1202       "frequency": "Yearly", 1202       "frequency": "Yearly",
            1203       "granularity": "District", 1203       "granularity": "District",
            1204       "hash": "", 1204       "hash": "",
            1205       "id": "25119741-f6c4-4242-b238-bb195c4ae530", 1205       "id": "25119741-f6c4-4242-b238-bb195c4ae530",
            1206       "idp_ready": false, 1206       "idp_ready": false,
            1207       "last_modified": "2024-09-05T04:38:00.515028", 1207       "last_modified": "2024-09-05T04:38:00.515028",
            1208       "lgd_mapping": "yes", 1208       "lgd_mapping": "yes",
            1209       "metadata_modified": "2024-09-05T08:59:05.644056", 1209       "metadata_modified": "2024-09-05T08:59:05.644056",
            1210       "methodology": "The dataset is sourced from the official website  1210       "methodology": "The dataset is sourced from the official website 
            1211 of the National Crime Records Bureau (NCRB) of India. NCRB collates  1211 of the National Crime Records Bureau (NCRB) of India. NCRB collates 
            1212 this data from various state and district police records. It is  1212 this data from various state and district police records. It is 
            1213 important to note that the data might be subject to changes based on  1213 important to note that the data might be subject to changes based on 
            1214 further verifications and updates from respective state and district  1214 further verifications and updates from respective state and district 
            1215 authorities.", 1215 authorities.",
            1216       "mimetype": "text/csv", 1216       "mimetype": "text/csv",
            1217       "mimetype_inner": null, 1217       "mimetype_inner": null,
            1218       "name": "Districtwise Missing Persons 2021 onwards", 1218       "name": "Districtwise Missing Persons 2021 onwards",
            1219       "no_indicators": "15", 1219       "no_indicators": "15",
            1220       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 1220       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            1221       "position": 10, 1221       "position": 10,
            1222       "resource_type": null, 1222       "resource_type": null,
            1223       "similar_datasets": [], 1223       "similar_datasets": [],
            1224       "size": 231208, 1224       "size": 231208,
            1225       "sku": "ncrb-cii_missing_persons-dt-yr-rct", 1225       "sku": "ncrb-cii_missing_persons-dt-yr-rct",
            1226       "state": "active", 1226       "state": "active",
            1227       "states_uts_no": "36", 1227       "states_uts_no": "36",
            1228       "tags": [ 1228       "tags": [
            1229         "Missing Persons", 1229         "Missing Persons",
            1230         "NCRB", 1230         "NCRB",
            1231         "Gender Statistics", 1231         "Gender Statistics",
            1232         "Age Group", 1232         "Age Group",
            1233         "Crime Analysis", 1233         "Crime Analysis",
            1234         "Vulnerable Populations" 1234         "Vulnerable Populations"
            1235       ], 1235       ],
            1236       "url":  1236       "url": 
            1237 -bb195c4ae530/download/districtwise-missing-persons-2021-onwards.csv", 1237 -bb195c4ae530/download/districtwise-missing-persons-2021-onwards.csv",
            1238       "url_type": "upload", 1238       "url_type": "upload",
            1239       "years_covered": "2021-2022" 1239       "years_covered": "2021-2022"
            1240     }, 1240     },
            1241     { 1241     {
            1242       "additional_info": "nan", 1242       "additional_info": "nan",
            1243       "cache_last_updated": null, 1243       "cache_last_updated": null,
            1244       "cache_url": null, 1244       "cache_url": null,
            1245       "created": "2024-09-04T18:16:19.322278", 1245       "created": "2024-09-04T18:16:19.322278",
            1246       "data_extraction_page":  1246       "data_extraction_page": 
            1247 "https://ncrb.gov.in/crime-in-india.html", 1247 "https://ncrb.gov.in/crime-in-india.html",
            1248       "data_insights": "Data Insights that can be drawn:Trends over  1248       "data_insights": "Data Insights that can be drawn:Trends over 
            1249 Time: With data available for multiple years, one can track the trend  1249 Time: With data available for multiple years, one can track the trend 
            1250 of specific crimes over time to ascertain if they are increasing or  1250 of specific crimes over time to ascertain if they are increasing or 
            1251 decreasing.Geographical Insights: By comparing crime statistics across  1251 decreasing.Geographical Insights: By comparing crime statistics across 
            1252 different states and districts, regions with higher instances of  1252 different states and districts, regions with higher instances of 
            1253 specific crimes can be identified.Crime Categories: Insight into which  1253 specific crimes can be identified.Crime Categories: Insight into which 
            1254 types of crimes are most prevalent among juveniles.Impact of Social  1254 types of crimes are most prevalent among juveniles.Impact of Social 
            1255 Initiatives: By correlating with historical social and legislative  1255 Initiatives: By correlating with historical social and legislative 
            1256 initiatives, one might gauge their effectiveness in curbing certain  1256 initiatives, one might gauge their effectiveness in curbing certain 
            1257 offenses.", 1257 offenses.",
            1258       "data_last_updated": "2024-08-01 00:00:00", 1258       "data_last_updated": "2024-08-01 00:00:00",
            1259       "data_retreival_date": "2024-07-01 00:00:00", 1259       "data_retreival_date": "2024-07-01 00:00:00",
            1260       "datastore_active": true, 1260       "datastore_active": true,
            1261       "description": "This dataset \"Crime by Juveniles,\" offers an  1261       "description": "This dataset \"Crime by Juveniles,\" offers an 
            1262 exhaustive overview of various offenses committed by juveniles across  1262 exhaustive overview of various offenses committed by juveniles across 
            1263 different states and districts in India. Sourced from the National  1263 different states and districts in India. Sourced from the National 
            1264 Crime Records Bureau (NCRB) website, the dataset breaks down numerous  1264 Crime Records Bureau (NCRB) website, the dataset breaks down numerous 
            1265 crimes under different sections of the Indian Penal Code (IPC),  1265 crimes under different sections of the Indian Penal Code (IPC), 
            1266 ranging from violent crimes such as murder to cybercrimes like  1266 ranging from violent crimes such as murder to cybercrimes like 
            1267 circulating false or fake news.", 1267 circulating false or fake news.",
            1268       "district_no": "750", 1268       "district_no": "750",
            1269       "format": "CSV", 1269       "format": "CSV",
            1270       "frequency": "Yearly", 1270       "frequency": "Yearly",
            1271       "gp_no": "", 1271       "gp_no": "",
            1272       "granularity": "District", 1272       "granularity": "District",
            1273       "hash": "", 1273       "hash": "",
            1274       "id": "3f158dd4-c75f-429d-8418-f14ab7c720d9", 1274       "id": "3f158dd4-c75f-429d-8418-f14ab7c720d9",
            1275       "idp_ready": true, 1275       "idp_ready": true,
            1276       "last_modified": "2024-09-04T18:16:19.288395", 1276       "last_modified": "2024-09-04T18:16:19.288395",
            1277       "lgd_mapping": "yes", 1277       "lgd_mapping": "yes",
            1278       "metadata_modified": "2024-09-05T04:29:25.016155", 1278       "metadata_modified": "2024-09-05T04:29:25.016155",
            1279       "methodology": "The data is presumably collated by the NCRB from  1279       "methodology": "The data is presumably collated by the NCRB from 
            1280 reports sent by various police stations across states and districts in  1280 reports sent by various police stations across states and districts in 
            1281 India. The crimes are categorized based on sections of the Indian  1281 India. The crimes are categorized based on sections of the Indian 
            1282 Penal Code (IPC) that they correspond to.", 1282 Penal Code (IPC) that they correspond to.",
            1283       "mimetype": null, 1283       "mimetype": null,
            1284       "mimetype_inner": null, 1284       "mimetype_inner": null,
            1285       "name": "IPC Crime by Juveniles", 1285       "name": "IPC Crime by Juveniles",
            1286       "no_indicators": "123", 1286       "no_indicators": "123",
            1287       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 1287       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            1288       "position": 11, 1288       "position": 11,
            1289       "resource_type": null, 1289       "resource_type": null,
            1290       "similar_resources": "", 1290       "similar_resources": "",
            1291       "size": 2817777, 1291       "size": 2817777,
            1292       "sku": "ncrb-cii_ipc_crime_by_juveniles-dt-yr-aaa", 1292       "sku": "ncrb-cii_ipc_crime_by_juveniles-dt-yr-aaa",
            1293       "state": "active", 1293       "state": "active",
            1294       "states_uts_no": "36", 1294       "states_uts_no": "36",
            1295       "tehsil_no": "", 1295       "tehsil_no": "",
            1296       "url":  1296       "url": 
            1297 3f158dd4-c75f-429d-8418-f14ab7c720d9/download/crime-by-juveniles.csv", 1297 3f158dd4-c75f-429d-8418-f14ab7c720d9/download/crime-by-juveniles.csv",
            1298       "url_type": "upload", 1298       "url_type": "upload",
            1299       "years_covered": "2017-2022" 1299       "years_covered": "2017-2022"
            1300     }, 1300     },
            1301     { 1301     {
            1302       "additional_info": "nan", 1302       "additional_info": "nan",
            1303       "cache_last_updated": null, 1303       "cache_last_updated": null,
            1304       "cache_url": null, 1304       "cache_url": null,
            1305       "created": "2024-09-04T18:46:07.958935", 1305       "created": "2024-09-04T18:46:07.958935",
            1306       "data_extraction_page":  1306       "data_extraction_page": 
            1307 "https://ncrb.gov.in/crime-in-india.html", 1307 "https://ncrb.gov.in/crime-in-india.html",
            1308       "data_insights": "Analyzing the \"SLL Crime by Juveniles\"  1308       "data_insights": "Analyzing the \"SLL Crime by Juveniles\" 
            1309 dataset can yield several valuable insights:Crime Trends Over Time:  1309 dataset can yield several valuable insights:Crime Trends Over Time: 
            1310 Identify patterns in juvenile crime rates over different years, which  1310 Identify patterns in juvenile crime rates over different years, which 
            1311 can help understand whether certain types of offenses are increasing  1311 can help understand whether certain types of offenses are increasing 
            1312 or decreasing.Demographic Analysis: Examine the age and gender  1312 or decreasing.Demographic Analysis: Examine the age and gender 
            1313 distribution of juvenile offenders to determine which groups are more  1313 distribution of juvenile offenders to determine which groups are more 
            1314 prone to committing specific types of crimes.Geographic Distribution:  1314 prone to committing specific types of crimes.Geographic Distribution: 
            1315 If the dataset includes location data, it can highlight regions with  1315 If the dataset includes location data, it can highlight regions with 
            1316 higher incidences of juvenile crime, helping target interventions more  1316 higher incidences of juvenile crime, helping target interventions more 
            1317 effectively.Common Offenses: Determine the most frequent types of  1317 effectively.Common Offenses: Determine the most frequent types of 
            1318 crimes committed under Special and Local Laws, providing insight into  1318 crimes committed under Special and Local Laws, providing insight into 
            1319 areas where law enforcement or preventive measures could be  1319 areas where law enforcement or preventive measures could be 
            1320 focused.Recidivism Rates: If available, analyze data on repeat  1320 focused.Recidivism Rates: If available, analyze data on repeat 
            1321 offenders to assess the effectiveness of juvenile rehabilitation  1321 offenders to assess the effectiveness of juvenile rehabilitation 
            1322 programs and the likelihood of re-offending.Impact of Legal Changes:  1322 programs and the likelihood of re-offending.Impact of Legal Changes: 
            1323 Evaluate how changes in laws or enforcement strategies have influenced  1323 Evaluate how changes in laws or enforcement strategies have influenced 
            1324 juvenile crime rates, offering a basis for policy recommendations.", 1324 juvenile crime rates, offering a basis for policy recommendations.",
            1325       "data_last_updated": "2024-08-01 00:00:00", 1325       "data_last_updated": "2024-08-01 00:00:00",
            1326       "data_retreival_date": "2024-07-01 00:00:00", 1326       "data_retreival_date": "2024-07-01 00:00:00",
            1327       "datastore_active": true, 1327       "datastore_active": true,
            1328       "description": "The \"SLL Crime by Juveniles\" dataset typically  1328       "description": "The \"SLL Crime by Juveniles\" dataset typically 
            1329 contains data on crimes committed by juveniles under Special and Local  1329 contains data on crimes committed by juveniles under Special and Local 
            1330 Laws (SLL) in a specific region or country. It includes information  1330 Laws (SLL) in a specific region or country. It includes information 
            1331 such as the type of crime, the age and gender of the juvenile  1331 such as the type of crime, the age and gender of the juvenile 
            1332 offenders, the year of the offense, and the legal outcomes. This  1332 offenders, the year of the offense, and the legal outcomes. This 
            1333 dataset is often used to analyze trends in juvenile delinquency,  1333 dataset is often used to analyze trends in juvenile delinquency, 
            1334 identify common offenses, and inform policy decisions aimed at  1334 identify common offenses, and inform policy decisions aimed at 
            1335 preventing youth crime. It serves as a critical resource for  1335 preventing youth crime. It serves as a critical resource for 
            1336 understanding patterns of juvenile behavior and the effectiveness of  1336 understanding patterns of juvenile behavior and the effectiveness of 
            1337 legal interventions.", 1337 legal interventions.",
            1338       "district_no": "746", 1338       "district_no": "746",
            1339       "format": "CSV", 1339       "format": "CSV",
            1340       "frequency": "Yearly", 1340       "frequency": "Yearly",
            1341       "gp_no": "", 1341       "gp_no": "",
            1342       "granularity": "District", 1342       "granularity": "District",
            1343       "hash": "", 1343       "hash": "",
            1344       "id": "7a57ba6e-d918-4612-9cab-b75d5662287d", 1344       "id": "7a57ba6e-d918-4612-9cab-b75d5662287d",
            1345       "idp_ready": true, 1345       "idp_ready": true,
            1346       "last_modified": "2024-09-04T18:46:07.923093", 1346       "last_modified": "2024-09-04T18:46:07.923093",
            1347       "lgd_mapping": "yes", 1347       "lgd_mapping": "yes",
            1348       "metadata_modified": "2024-09-05T04:29:52.015577", 1348       "metadata_modified": "2024-09-05T04:29:52.015577",
            1349       "methodology": "The data is presumably collated by the NCRB from  1349       "methodology": "The data is presumably collated by the NCRB from 
            1350 reports sent by various police stations across states and districts in  1350 reports sent by various police stations across states and districts in 
            1351 India. The crimes are categorized based on sections of the Indian  1351 India. The crimes are categorized based on sections of the Indian 
            1352 Penal Code (IPC) that they correspond to.", 1352 Penal Code (IPC) that they correspond to.",
            1353       "mimetype": null, 1353       "mimetype": null,
            1354       "mimetype_inner": null, 1354       "mimetype_inner": null,
            1355       "name": "SLL Crime by Juveniles", 1355       "name": "SLL Crime by Juveniles",
            1356       "no_indicators": "72", 1356       "no_indicators": "72",
            1357       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 1357       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            1358       "position": 12, 1358       "position": 12,
            1359       "resource_type": null, 1359       "resource_type": null,
            1360       "similar_resources": "", 1360       "similar_resources": "",
            1361       "size": 1851023, 1361       "size": 1851023,
            1362       "sku": "ncrb-cii_sll_crime_by_juveniles-dt-yr-aaa", 1362       "sku": "ncrb-cii_sll_crime_by_juveniles-dt-yr-aaa",
            1363       "state": "active", 1363       "state": "active",
            1364       "states_uts_no": "36", 1364       "states_uts_no": "36",
            1365       "tehsil_no": "", 1365       "tehsil_no": "",
            1366       "url":  1366       "url": 
            1367 ba6e-d918-4612-9cab-b75d5662287d/download/sll-crime-by-juveniles.csv", 1367 ba6e-d918-4612-9cab-b75d5662287d/download/sll-crime-by-juveniles.csv",
            1368       "url_type": "upload", 1368       "url_type": "upload",
            1369       "years_covered": "2017-2022" 1369       "years_covered": "2017-2022"
            1370     }, 1370     },
            1371     { 1371     {
            1372       "additional_info": "nan", 1372       "additional_info": "nan",
            1373       "cache_last_updated": null, 1373       "cache_last_updated": null,
            1374       "cache_url": null, 1374       "cache_url": null,
            1375       "created": "2024-09-05T04:53:27.403074", 1375       "created": "2024-09-05T04:53:27.403074",
            1376       "data_extraction_page":  1376       "data_extraction_page": 
            1377 "https://ncrb.gov.in/crime-in-india.html", 1377 "https://ncrb.gov.in/crime-in-india.html",
            1378       "data_insights": "Analyzing the count of Serious and Organized  1378       "data_insights": "Analyzing the count of Serious and Organized 
            1379 Crime Legislation (SLL) crimes in each district provides significant  1379 Crime Legislation (SLL) crimes in each district provides significant 
            1380 data insights that can inform legislative decisions and law  1380 data insights that can inform legislative decisions and law 
            1381 enforcement strategies. The data allows to pinpoint districts with the  1381 enforcement strategies. The data allows to pinpoint districts with the 
            1382 highest counts of SLL crimes. This information is critical for law  1382 highest counts of SLL crimes. This information is critical for law 
            1383 enforcement agencies to focus their efforts and resources on areas  1383 enforcement agencies to focus their efforts and resources on areas 
            1384 with the greatest need for intervention. This data can guide budget  1384 with the greatest need for intervention. This data can guide budget 
            1385 allocation and resource distribution. Over time, tracking changes in  1385 allocation and resource distribution. Over time, tracking changes in 
            1386 SLL crime counts can help evaluate the effectiveness of existing laws  1386 SLL crime counts can help evaluate the effectiveness of existing laws 
            1387 and policies. A reduction in crime rates may indicate that legislative  1387 and policies. A reduction in crime rates may indicate that legislative 
            1388 measures are achieving their intended objectives.", 1388 measures are achieving their intended objectives.",
            1389       "data_last_updated": "01-08-2024", 1389       "data_last_updated": "01-08-2024",
            1390       "data_retreival_date": "2024-07-01 00:00:00", 1390       "data_retreival_date": "2024-07-01 00:00:00",
            1391       "datastore_active": true, 1391       "datastore_active": true,
            1392       "description": "Data is about the count of SLL crimes in each  1392       "description": "Data is about the count of SLL crimes in each 
            1393 district provides a foundation for informed lawmaking and effective  1393 district provides a foundation for informed lawmaking and effective 
            1394 law enforcement. It guides resource allocation, legislative  1394 law enforcement. It guides resource allocation, legislative 
            1395 improvements, community engagement, and collaborative efforts to  1395 improvements, community engagement, and collaborative efforts to 
            1396 combat organized crime, ultimately fostering safer and more secure  1396 combat organized crime, ultimately fostering safer and more secure 
            1397 communities.", 1397 communities.",
            1398       "district_no": "684", 1398       "district_no": "684",
            1399       "format": "CSV", 1399       "format": "CSV",
            1400       "frequency": "Yearly", 1400       "frequency": "Yearly",
            1401       "gp_no": "", 1401       "gp_no": "",
            1402       "granularity": "District", 1402       "granularity": "District",
            1403       "hash": "", 1403       "hash": "",
            1404       "id": "c4561be6-a357-421b-a290-204141722292", 1404       "id": "c4561be6-a357-421b-a290-204141722292",
            1405       "idp_ready": true, 1405       "idp_ready": true,
            1406       "last_modified": "2024-11-20T12:38:04.192548", 1406       "last_modified": "2024-11-20T12:38:04.192548",
            1407       "lgd_mapping": "yes", 1407       "lgd_mapping": "yes",
            1408       "metadata_modified": "2024-11-20T12:38:09.913615", 1408       "metadata_modified": "2024-11-20T12:38:09.913615",
            1409       "methodology": "Collecting data on the count of Serious and  1409       "methodology": "Collecting data on the count of Serious and 
            1410 Organized Crime Legislation (SLL) crimes in each district is a  1410 Organized Crime Legislation (SLL) crimes in each district is a 
            1411 critical step in informed lawmaking and effective law enforcement.  1411 critical step in informed lawmaking and effective law enforcement. 
            1412 First and foremost, a clear definition of SLL crimes is established by  1412 First and foremost, a clear definition of SLL crimes is established by 
            1413 inacting related laws and acts. Law enforcement agencies in each  1413 inacting related laws and acts. Law enforcement agencies in each 
            1414 district play a pivotal role in reporting SLL crimes. nce the data is  1414 district play a pivotal role in reporting SLL crimes. nce the data is 
            1415 collected, it is submitted to a central database or information  1415 collected, it is submitted to a central database or information 
            1416 management system. This database is secure and maintained by the  1416 management system. This database is secure and maintained by the 
            1417 relevant authority responsible for collecting and managing crime  1417 relevant authority responsible for collecting and managing crime 
            1418 data.", 1418 data.",
            1419       "mimetype": "text/csv", 1419       "mimetype": "text/csv",
            1420       "mimetype_inner": null, 1420       "mimetype_inner": null,
            1421       "name": "Districtwise SLL crimes 2016", 1421       "name": "Districtwise SLL crimes 2016",
            1422       "no_indicators": "56", 1422       "no_indicators": "56",
            1423       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 1423       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            1424       "position": 13, 1424       "position": 13,
            1425       "resource_type": null, 1425       "resource_type": null,
            1426       "similar_datasets": [], 1426       "similar_datasets": [],
            1427       "similar_resources": "", 1427       "similar_resources": "",
            1428       "size": 239108, 1428       "size": 239108,
            1429       "sku": "ncrb-cii_sll_crimes-dt-yr-prv", 1429       "sku": "ncrb-cii_sll_crimes-dt-yr-prv",
            1430       "state": "active", 1430       "state": "active",
            1431       "states_uts_no": "36", 1431       "states_uts_no": "36",
            1432       "tags": [ 1432       "tags": [
            1433         "SLL crimes", 1433         "SLL crimes",
            1434         "districtwise total crimes", 1434         "districtwise total crimes",
            1435         "other SLL crimes" 1435         "other SLL crimes"
            1436       ], 1436       ],
            1437       "tehsil_no": "", 1437       "tehsil_no": "",
            1438       "url":  1438       "url": 
            1439 357-421b-a290-204141722292/download/districtwise-sll-crimes-2016.csv", 1439 357-421b-a290-204141722292/download/districtwise-sll-crimes-2016.csv",
            1440       "url_type": "upload", 1440       "url_type": "upload",
            1441       "years_covered": "2016.0" 1441       "years_covered": "2016.0"
            1442     }, 1442     },
            1443     { 1443     {
            1444       "additional_info": "nan", 1444       "additional_info": "nan",
            1445       "cache_last_updated": null, 1445       "cache_last_updated": null,
            1446       "cache_url": null, 1446       "cache_url": null,
            1447       "created": "2024-09-20T08:04:23.984563", 1447       "created": "2024-09-20T08:04:23.984563",
            1448       "data_extraction_page":  1448       "data_extraction_page": 
            1449 "https://ncrb.gov.in/crime-in-india.html", 1449 "https://ncrb.gov.in/crime-in-india.html",
            1450       "data_insights": "These are a few insights that can be drawn  1450       "data_insights": "These are a few insights that can be drawn 
            1451 from the Crimes against children data:\nTrend Analysis: Examining  1451 from the Crimes against children data:\nTrend Analysis: Examining 
            1452 trends over time can reveal whether child crime rates are increasing  1452 trends over time can reveal whether child crime rates are increasing 
            1453 or decreasing. Identifying spikes in certain periods can prompt  1453 or decreasing. Identifying spikes in certain periods can prompt 
            1454 targeted interventions.\nGeographical Patterns: Analyzing data by  1454 targeted interventions.\nGeographical Patterns: Analyzing data by 
            1455 district helps identify regions with higher child crime rates. This  1455 district helps identify regions with higher child crime rates. This 
            1456 information can guide resource allocation and intervention  1456 information can guide resource allocation and intervention 
            1457 strategies.\nCrime Types: Understanding the types of crimes committed  1457 strategies.\nCrime Types: Understanding the types of crimes committed 
            1458 against children, such as abuse, abduction, or child labor, helps  1458 against children, such as abuse, abduction, or child labor, helps 
            1459 tailor prevention and support programs.\nPreventive Measures: These  1459 tailor prevention and support programs.\nPreventive Measures: These 
            1460 insights support the development of preventive measures, educational  1460 insights support the development of preventive measures, educational 
            1461 campaigns, and support services to reduce crimes against children.", 1461 campaigns, and support services to reduce crimes against children.",
            1462       "data_last_updated": "01-08-2024", 1462       "data_last_updated": "01-08-2024",
            1463       "data_retreival_date": "2024-07-01 00:00:00", 1463       "data_retreival_date": "2024-07-01 00:00:00",
            1464       "datastore_active": true, 1464       "datastore_active": true,
            1465       "description": "Data on crimes against children in each district  1465       "description": "Data on crimes against children in each district 
            1466 is a pivotal resource. It offers valuable insights into child safety,  1466 is a pivotal resource. It offers valuable insights into child safety, 
            1467 aiding policymakers, law enforcement, and communities. By identifying  1467 aiding policymakers, law enforcement, and communities. By identifying 
            1468 crime trends and hotspots, resources can be directed effectively. It  1468 crime trends and hotspots, resources can be directed effectively. It 
            1469 enables the assessment of child protection measures, highlighting  1469 enables the assessment of child protection measures, highlighting 
            1470 areas for improvement. Communities and organizations can use this data  1470 areas for improvement. Communities and organizations can use this data 
            1471 for advocacy and awareness campaigns, fostering a safer environment.  1471 for advocacy and awareness campaigns, fostering a safer environment. 
            1472 In essence, it empowers evidence-based policy formulation to ensure  1472 In essence, it empowers evidence-based policy formulation to ensure 
            1473 the welfare of our nation's youth, reflecting its immense significance  1473 the welfare of our nation's youth, reflecting its immense significance 
            1474 in child protection and welfare efforts.", 1474 in child protection and welfare efforts.",
            1475       "district_no": "751", 1475       "district_no": "751",
            1476       "format": "CSV", 1476       "format": "CSV",
            1477       "frequency": "Yearly", 1477       "frequency": "Yearly",
            1478       "gp_no": "", 1478       "gp_no": "",
            1479       "granularity": "District", 1479       "granularity": "District",
            1480       "hash": "", 1480       "hash": "",
            1481       "id": "4757b1c6-d95d-4276-ad37-78afa3c46f95", 1481       "id": "4757b1c6-d95d-4276-ad37-78afa3c46f95",
            1482       "idp_ready": true, 1482       "idp_ready": true,
            1483       "indicators": [], 1483       "indicators": [],
            1484       "last_modified": "2024-11-20T12:40:16.913562", 1484       "last_modified": "2024-11-20T12:40:16.913562",
            1485       "lgd_mapping": "yes", 1485       "lgd_mapping": "yes",
            1486       "metadata_modified": "2024-11-20T12:40:26.763698", 1486       "metadata_modified": "2024-11-20T12:40:26.763698",
            1487       "methodology": "Data on crimes against children in each district  1487       "methodology": "Data on crimes against children in each district 
            1488 is gathered through a collaborative effort. Law enforcement agencies,  1488 is gathered through a collaborative effort. Law enforcement agencies, 
            1489 including local police, play a central role by documenting reported  1489 including local police, play a central role by documenting reported 
            1490 incidents. Child welfare organizations, NGOs, and government bodies  1490 incidents. Child welfare organizations, NGOs, and government bodies 
            1491 also contribute data through surveys and studies. Medical institutions  1491 also contribute data through surveys and studies. Medical institutions 
            1492 report cases when providing care to affected children. Collaboration  1492 report cases when providing care to affected children. Collaboration 
            1493 among these stakeholders is vital for comprehensive data. Legal  1493 among these stakeholders is vital for comprehensive data. Legal 
            1494 frameworks and protocols guide data collection, and audits ensure  1494 frameworks and protocols guide data collection, and audits ensure 
            1495 accuracy. Overall, this collaborative approach helps assess child  1495 accuracy. Overall, this collaborative approach helps assess child 
            1496 protection needs and develop effective strategies at the district  1496 protection needs and develop effective strategies at the district 
            1497 level.", 1497 level.",
            1498       "mimetype": "text/csv", 1498       "mimetype": "text/csv",
            1499       "mimetype_inner": null, 1499       "mimetype_inner": null,
            1500       "name": "Districtwise Crime Against Children 2017 onwards", 1500       "name": "Districtwise Crime Against Children 2017 onwards",
            1501       "no_indicators": "51", 1501       "no_indicators": "51",
            1502       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 1502       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            1503       "position": 14, 1503       "position": 14,
            1504       "resource_type": null, 1504       "resource_type": null,
            1505       "similar_datasets": [], 1505       "similar_datasets": [],
            1506       "similar_resources": "", 1506       "similar_resources": "",
            1507       "size": 1425878, 1507       "size": 1425878,
            1508       "sku": "ncrb-cii_crime_against_children-dt-yr-aaa", 1508       "sku": "ncrb-cii_crime_against_children-dt-yr-aaa",
            1509       "state": "active", 1509       "state": "active",
            1510       "states_uts_no": "36", 1510       "states_uts_no": "36",
            1511       "tags": [ 1511       "tags": [
            1512         "Crimes against children", 1512         "Crimes against children",
            1513         "murder", 1513         "murder",
            1514         "kidnapping", 1514         "kidnapping",
            1515         "Infantide", 1515         "Infantide",
            1516         "Foeticide", 1516         "Foeticide",
            1517         "Buying of minors", 1517         "Buying of minors",
            1518         "selling of minors", 1518         "selling of minors",
            1519         "child labour" 1519         "child labour"
            1520       ], 1520       ],
            1521       "tehsil_no": "", 1521       "tehsil_no": "",
            1522       "url":  1522       "url": 
            1523 c46f95/download/districtwise-crime-against-children-2017-onwards.csv", 1523 c46f95/download/districtwise-crime-against-children-2017-onwards.csv",
            1524       "url_type": "upload", 1524       "url_type": "upload",
            1525       "years_covered": "2017-2022" 1525       "years_covered": "2017-2022"
            1526     }, 1526     },
            1527     { 1527     {
            1528       "additional_info": "nan", 1528       "additional_info": "nan",
            1529       "cache_last_updated": null, 1529       "cache_last_updated": null,
            1530       "cache_url": null, 1530       "cache_url": null,
            1531       "created": "2024-11-21T04:21:19.402505", 1531       "created": "2024-11-21T04:21:19.402505",
            1532       "data_extraction_page":  1532       "data_extraction_page": 
            1533 "https://ncrb.gov.in/crime-in-india.html", 1533 "https://ncrb.gov.in/crime-in-india.html",
            1534       "data_insights": "Analyzing the count of IPC (Indian Penal Code)  1534       "data_insights": "Analyzing the count of IPC (Indian Penal Code) 
            1535 crimes in each district provides valuable insights into the law and  1535 crimes in each district provides valuable insights into the law and 
            1536 order situation. Identifying districts with the highest crime rates  1536 order situation. Identifying districts with the highest crime rates 
            1537 allows law enforcement agencies to allocate resources effectively to  1537 allows law enforcement agencies to allocate resources effectively to 
            1538 address security challenges in those areas. Examining the data over  1538 address security challenges in those areas. Examining the data over 
            1539 time can reveal whether crime rates are increasing, decreasing, or  1539 time can reveal whether crime rates are increasing, decreasing, or 
            1540 remaining stable in specific districts. This trend analysis helps in  1540 remaining stable in specific districts. This trend analysis helps in 
            1541 understanding the effectiveness of crime prevention efforts. So, the  1541 understanding the effectiveness of crime prevention efforts. So, the 
            1542 count of IPC crimes in each district provides a wealth of insights  1542 count of IPC crimes in each district provides a wealth of insights 
            1543 that inform law enforcement, policymaking, and community engagement  1543 that inform law enforcement, policymaking, and community engagement 
            1544 efforts. It plays a crucial role in maintaining public safety and  1544 efforts. It plays a crucial role in maintaining public safety and 
            1545 ensuring effective law and order across regions.", 1545 ensuring effective law and order across regions.",
            1546       "data_last_updated": "01-08-2024", 1546       "data_last_updated": "01-08-2024",
            1547       "data_retreival_date": "2024-07-01 00:00:00", 1547       "data_retreival_date": "2024-07-01 00:00:00",
            1548       "datastore_active": true, 1548       "datastore_active": true,
            1549       "description": "The data of IPC (Indian Penal Code) crimes in  1549       "description": "The data of IPC (Indian Penal Code) crimes in 
            1550 each district is a crucial aspect of understanding a region's law and  1550 each district is a crucial aspect of understanding a region's law and 
            1551 order situation. This data provides valuable insights into the  1551 order situation. This data provides valuable insights into the 
            1552 prevalence and nature of criminal activities across districts. Data on  1552 prevalence and nature of criminal activities across districts. Data on 
            1553 IPC crimes in each district is a powerful tool for maintaining law and  1553 IPC crimes in each district is a powerful tool for maintaining law and 
            1554 order, devising crime prevention strategies, and ensuring the safety  1554 order, devising crime prevention strategies, and ensuring the safety 
            1555 and security of citizens. It serves as the foundation for  1555 and security of citizens. It serves as the foundation for 
            1556 evidence-based policymaking and targeted law enforcement efforts.", 1556 evidence-based policymaking and targeted law enforcement efforts.",
            1557       "district_no": "749", 1557       "district_no": "749",
            1558       "format": "CSV", 1558       "format": "CSV",
            1559       "frequency": "Yearly", 1559       "frequency": "Yearly",
            1560       "gp_no": "", 1560       "gp_no": "",
            1561       "granularity": "District", 1561       "granularity": "District",
            1562       "hash": "", 1562       "hash": "",
            1563       "id": "387dedad-5978-4f97-a6c5-60ca45f9405a", 1563       "id": "387dedad-5978-4f97-a6c5-60ca45f9405a",
            1564       "idp_ready": true, 1564       "idp_ready": true,
            1565       "indicators": [], 1565       "indicators": [],
            1566       "last_modified": "2024-11-21T04:21:19.321701", 1566       "last_modified": "2024-11-21T04:21:19.321701",
            1567       "lgd_mapping": "yes", 1567       "lgd_mapping": "yes",
            1568       "metadata_modified": "2024-11-21T04:24:27.635002", 1568       "metadata_modified": "2024-11-21T04:24:27.635002",
            1569       "methodology": "The methodology for collecting data on IPC  1569       "methodology": "The methodology for collecting data on IPC 
            1570 (Indian Penal Code) crimes in districts is meticulous and systematic.  1570 (Indian Penal Code) crimes in districts is meticulous and systematic. 
            1571 It begins with reports from various sources, which law enforcement  1571 It begins with reports from various sources, which law enforcement 
            1572 agencies receive and use to register FIRs (First Information Reports).  1572 agencies receive and use to register FIRs (First Information Reports). 
            1573 Crimes are then categorized by relevant IPC sections and carefully  1573 Crimes are then categorized by relevant IPC sections and carefully 
            1574 documented. Trained personnel input this information into a central  1574 documented. Trained personnel input this information into a central 
            1575 database, subjecting it to thorough quality control and privacy  1575 database, subjecting it to thorough quality control and privacy 
            1576 safeguards. The data is shared with government agencies and the public  1576 safeguards. The data is shared with government agencies and the public 
            1577 for research purposes, aiding law enforcement, resource allocation,  1577 for research purposes, aiding law enforcement, resource allocation, 
            1578 and crime prevention. Regular reviews and technology integration  1578 and crime prevention. Regular reviews and technology integration 
            1579 enhance the effectiveness of this methodology, ensuring accurate and  1579 enhance the effectiveness of this methodology, ensuring accurate and 
            1580 privacy-compliant crime data collection and analysis.", 1580 privacy-compliant crime data collection and analysis.",
            1581       "mimetype": null, 1581       "mimetype": null,
            1582       "mimetype_inner": null, 1582       "mimetype_inner": null,
            1583       "name": "Districtwise IPC crimes 2017 onwards", 1583       "name": "Districtwise IPC crimes 2017 onwards",
            1584       "no_indicators": "117", 1584       "no_indicators": "117",
            1585       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 1585       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            1586       "position": 15, 1586       "position": 15,
            1587       "resource_type": null, 1587       "resource_type": null,
            1588       "similar_resources": "", 1588       "similar_resources": "",
            1589       "size": 2977022, 1589       "size": 2977022,
            1590       "sku": "ncrb-cii_ipc_crimes-dt-yr-aaa", 1590       "sku": "ncrb-cii_ipc_crimes-dt-yr-aaa",
            1591       "state": "active", 1591       "state": "active",
            1592       "states_uts_no": "36", 1592       "states_uts_no": "36",
            1593       "tehsil_no": "", 1593       "tehsil_no": "",
            1594       "url":  1594       "url": 
            1595 -a6c5-60ca45f9405a/download/districtwise-ipc-crimes-2017-onwards.csv", 1595 -a6c5-60ca45f9405a/download/districtwise-ipc-crimes-2017-onwards.csv",
            1596       "url_type": "upload", 1596       "url_type": "upload",
            1597       "years_covered": "2017-2022" 1597       "years_covered": "2017-2022"
            1598     }, 1598     },
            1599     { 1599     {
            1600       "additional_info": "nan", 1600       "additional_info": "nan",
            1601       "cache_last_updated": null, 1601       "cache_last_updated": null,
            1602       "cache_url": null, 1602       "cache_url": null,
            1603       "created": "2024-11-21T04:22:29.363384", 1603       "created": "2024-11-21T04:22:29.363384",
            1604       "data_extraction_page":  1604       "data_extraction_page": 
            1605 "https://ncrb.gov.in/crime-in-india.html", 1605 "https://ncrb.gov.in/crime-in-india.html",
            1606       "data_insights": "Analyzing the count of Serious and Organized  1606       "data_insights": "Analyzing the count of Serious and Organized 
            1607 Crime Legislation (SLL) crimes in each district provides significant  1607 Crime Legislation (SLL) crimes in each district provides significant 
            1608 data insights that can inform legislative decisions and law  1608 data insights that can inform legislative decisions and law 
            1609 enforcement strategies. The data allows to pinpoint districts with the  1609 enforcement strategies. The data allows to pinpoint districts with the 
            1610 highest counts of SLL crimes. This information is critical for law  1610 highest counts of SLL crimes. This information is critical for law 
            1611 enforcement agencies to focus their efforts and resources on areas  1611 enforcement agencies to focus their efforts and resources on areas 
            1612 with the greatest need for intervention. This data can guide budget  1612 with the greatest need for intervention. This data can guide budget 
            1613 allocation and resource distribution. Over time, tracking changes in  1613 allocation and resource distribution. Over time, tracking changes in 
            1614 SLL crime counts can help evaluate the effectiveness of existing laws  1614 SLL crime counts can help evaluate the effectiveness of existing laws 
            1615 and policies. A reduction in crime rates may indicate that legislative  1615 and policies. A reduction in crime rates may indicate that legislative 
            1616 measures are achieving their intended objectives.", 1616 measures are achieving their intended objectives.",
            1617       "data_last_updated": "01-08-2024", 1617       "data_last_updated": "01-08-2024",
            1618       "data_retreival_date": "2024-07-01 00:00:00", 1618       "data_retreival_date": "2024-07-01 00:00:00",
            1619       "datastore_active": true, 1619       "datastore_active": true,
            1620       "description": "Data is about the count of SLL crimes in each  1620       "description": "Data is about the count of SLL crimes in each 
            1621 district provides a foundation for informed lawmaking and effective  1621 district provides a foundation for informed lawmaking and effective 
            1622 law enforcement. It guides resource allocation, legislative  1622 law enforcement. It guides resource allocation, legislative 
            1623 improvements, community engagement, and collaborative efforts to  1623 improvements, community engagement, and collaborative efforts to 
            1624 combat organized crime, ultimately fostering safer and more secure  1624 combat organized crime, ultimately fostering safer and more secure 
            1625 communities.", 1625 communities.",
            1626       "district_no": "752", 1626       "district_no": "752",
            1627       "format": "CSV", 1627       "format": "CSV",
            1628       "frequency": "Yearly", 1628       "frequency": "Yearly",
            1629       "gp_no": "", 1629       "gp_no": "",
            1630       "granularity": "District", 1630       "granularity": "District",
            1631       "hash": "", 1631       "hash": "",
            1632       "id": "3d051a90-96d1-4421-99b6-f3cae816a8d0", 1632       "id": "3d051a90-96d1-4421-99b6-f3cae816a8d0",
            1633       "idp_ready": true, 1633       "idp_ready": true,
            1634       "indicators": [], 1634       "indicators": [],
            1635       "last_modified": "2024-11-21T04:22:29.279939", 1635       "last_modified": "2024-11-21T04:22:29.279939",
            1636       "lgd_mapping": "yes", 1636       "lgd_mapping": "yes",
            1637       "metadata_modified": "2024-11-21T04:24:47.763716", 1637       "metadata_modified": "2024-11-21T04:24:47.763716",
            1638       "methodology": "Collecting data on the count of Serious and  1638       "methodology": "Collecting data on the count of Serious and 
            1639 Organized Crime Legislation (SLL) crimes in each district is a  1639 Organized Crime Legislation (SLL) crimes in each district is a 
            1640 critical step in informed lawmaking and effective law enforcement.  1640 critical step in informed lawmaking and effective law enforcement. 
            1641 First and foremost, a clear definition of SLL crimes is established by  1641 First and foremost, a clear definition of SLL crimes is established by 
            1642 inacting related laws and acts. Law enforcement agencies in each  1642 inacting related laws and acts. Law enforcement agencies in each 
            1643 district play a pivotal role in reporting SLL crimes. nce the data is  1643 district play a pivotal role in reporting SLL crimes. nce the data is 
            1644 collected, it is submitted to a central database or information  1644 collected, it is submitted to a central database or information 
            1645 management system. This database is secure and maintained by the  1645 management system. This database is secure and maintained by the 
            1646 relevant authority responsible for collecting and managing crime  1646 relevant authority responsible for collecting and managing crime 
            1647 data.", 1647 data.",
            1648       "mimetype": null, 1648       "mimetype": null,
            1649       "mimetype_inner": null, 1649       "mimetype_inner": null,
            1650       "name": "Districtwise SLL crimes 2017 onwards", 1650       "name": "Districtwise SLL crimes 2017 onwards",
            1651       "no_indicators": "72", 1651       "no_indicators": "72",
            1652       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285", 1652       "package_id": "e311a510-ce48-4f4c-baf6-0ec5f9278285",
            1653       "position": 16, 1653       "position": 16,
            1654       "resource_type": null, 1654       "resource_type": null,
            1655       "similar_resources": "", 1655       "similar_resources": "",
            1656       "size": 1905158, 1656       "size": 1905158,
            1657       "sku": "ncrb-cii_sll_crimes-dt-yr-aaa", 1657       "sku": "ncrb-cii_sll_crimes-dt-yr-aaa",
            1658       "state": "active", 1658       "state": "active",
            1659       "states_uts_no": "36", 1659       "states_uts_no": "36",
            1660       "tehsil_no": "", 1660       "tehsil_no": "",
            1661       "url":  1661       "url": 
            1662 -99b6-f3cae816a8d0/download/districtwise-sll-crimes-2017-onwards.csv", 1662 -99b6-f3cae816a8d0/download/districtwise-sll-crimes-2017-onwards.csv",
            1663       "url_type": "upload", 1663       "url_type": "upload",
            1664       "years_covered": "2017-2022" 1664       "years_covered": "2017-2022"
            1665     } 1665     }
            1666   ], 1666   ],
            1667   "sector": [ 1667   "sector": [
            1668     "Crime" 1668     "Crime"
            1669   ], 1669   ],
            1670   "source_name": "National Crime Records Bureau", 1670   "source_name": "National Crime Records Bureau",
            1671   "state": "active", 1671   "state": "active",
            1672   "title": "Crime Statistics", 1672   "title": "Crime Statistics",
            1673   "type": "dataset", 1673   "type": "dataset",
            1674   "url": "ncrb.gov.in", 1674   "url": "ncrb.gov.in",
            1675   "version": null 1675   "version": null
            1676 } 1676 }