Djibouti · Country Data Coverage
Collection
185 official ML-ready Djibouti open-data resources, plus related Electric Sheep Africa datasets. • 230 items • Updated
source_record_id stringlengths 48 69 | country_iso3 stringclasses 1
value | country_name stringclasses 1
value | source_sheet stringclasses 6
values | region stringclasses 9
values | number_of_countries float64 5 44 ⌀ | list_of_code stringclasses 6
values | source_period_start_year int64 | source_period_end_year int64 | source_period_label stringclasses 0
values | source_provider stringclasses 1
value | source_dataset stringclasses 1
value | source_resource stringclasses 1
value | source_package_id stringclasses 1
value | source_resource_id stringclasses 1
value | source_url stringclasses 1
value | license_id stringclasses 1
value | retrieved_at stringdate 2026-08-16 10:32:57 2026-08-16 10:32:57 | id float64 6 54 ⌀ | reviewer stringclasses 5
values | language stringclasses 10
values | survey_type_firm_hh stringclasses 2
values | file_name stringclasses 40
values | title stringclasses 31
values | country stringclasses 45
values | code stringclasses 45
values | indicator_for_whether_or_not_the_survey_states_the_inter stringclasses 21
values | gender_of_respondent_male_1_female_0_unknown stringclasses 11
values | relation_to_head_of_hh_numeric_1_head_2_spouse_3_childre stringclasses 6
values | age_of_respondent stringclasses 11
values | minimum_age_of_eligiblity_to_speak_to_interviewer_i_e_15 stringclasses 10
values | d_1_married_2_never_married_3_living_together_4_divorced stringclasses 3
values | respondent_education_level_in_4_categories_1_no_educatio stringclasses 20
values | of_hh_members_w_disabilities stringclasses 6
values | total_of_residents_regular_members_in_hh_definition_of_r stringclasses 18
values | of_hh_members_less_than_15_years_old stringclasses 10
values | of_hh_members_over_65 stringclasses 11
values | indicator_of_hh_urban_rural_sector_1_urban_0_non_urban_r stringclasses 23
values | in_what_state_are_you_currently stringclasses 4
values | does_your_household_have_access_to_internet_at_your_home stringclasses 10
values | in_the_last_week_what_was_the_the_main_source_of_drinkin stringclasses 6
values | in_the_last_week_what_kind_of_toilet_facility_did_member stringclasses 3
values | have_you_heard_about_the_coronavirus_pandemic_yes_1_no_0 stringclasses 14
values | is_the_respondent_able_to_list_three_symptoms_on_the_who stringclasses 6
values | does_the_respondent_know_preventive_measures_for_covid_1 stringclasses 16
values | does_the_respondent_know_preventive_measures_for_covid_1_2 stringclasses 16
values | does_the_respondent_know_preventive_measures_for_covid_1_3 stringclasses 17
values | does_the_respondent_know_preventive_measures_for_covid_1_4 stringclasses 17
values | does_the_respondent_know_preventive_measures_for_covid_1_5 stringclasses 17
values | does_the_respondent_know_preventive_measures_for_covid_1_6 stringclasses 16
values | does_the_respondent_know_preventive_measures_for_covid_1_7 stringclasses 16
values | does_the_respondent_know_preventive_measures_for_covid_1_8 stringclasses 16
values | does_the_respondent_know_preventive_measures_for_covid_1_9 stringclasses 15
values | are_you_aware_of_the_following_government_local_authorit stringclasses 21
values | are_you_aware_of_the_following_government_local_authorit_2 stringclasses 20
values | are_you_aware_of_the_following_government_local_authorit_3 stringclasses 18
values | are_you_aware_of_the_following_government_local_authorit_4 stringclasses 19
values | are_you_aware_of_the_following_government_local_authorit_5 stringclasses 13
values | are_you_aware_of_the_following_government_local_authorit_6 stringclasses 16
values | does_the_respondent_know_preventive_measures_for_covid_1_10 stringclasses 18
values | are_you_satisfied_with_governments_response_to_covid_19 stringclasses 9
values | have_you_adopted_more_frequent_handwashing_in_the_last_w stringclasses 18
values | do_you_avoid_handshakes_physical_greetings_yes_1_no_0_dr stringclasses 15
values | do_you_avoid_gatherings_of_more_than_10_people_yes_1_no stringclasses 16
values | have_you_adopted_wearing_masks_in_public_yes_1_no_0_draf stringclasses 16
values | have_you_adopted_social_distancing_self_isolation_yes_1 stringclasses 14
values | were_you_able_to_access_medicine_in_the_past_7_days_when stringclasses 19
values | were_you_able_to_access_staple_food_item_in_the_past_7_d stringclasses 21
values | were_you_able_to_access_staple_food_item_in_the_past_7_d_2 stringclasses 21
values | were_you_able_to_access_staple_food_item_in_the_past_7_d_3 stringclasses 20
values | has_the_hh_had_sufficient_water_to_drink_in_the_last_wee stringclasses 7
values | has_the_hh_had_sufficient_access_to_water_to_use_to_wash stringclasses 8
values | has_the_hh_had_sufficient_soap_to_wash_hands_with_in_the stringclasses 12
values | has_the_hh_needed_medical_treatment_since_covid_19_outbr stringclasses 25
values | has_the_hh_been_able_to_access_medical_services_in_the_p stringclasses 21
values | have_children_in_the_hh_attended_school_primary_secondar stringclasses 20
values | have_children_in_the_hh_engaged_in_any_learning_edu_serv stringclasses 18
values | has_the_hh_been_able_to_access_a_financial_institution_a stringclasses 14
values | has_the_hh_experienced_difficulties_accessing_public_tra stringclasses 5
values | did_your_household_move_after_covid_lockdown_date_e_g_ma stringclasses 5
values | on_what_date_did_your_household_move_in_ymd_format_e_g_2 stringclasses 5
values | ownership_of_current_housing_yes_1_no_2_does_your_househ stringclasses 6
values | number_of_rooms_in_the_dwelling_not_including_use_for_bu stringclasses 6
values | has_the_hh_run_out_of_food_because_of_lack_of_money_or_r stringclasses 15
values | are_there_hungry_adults_in_the_hh_who_could_not_eat_beca stringclasses 15
values | are_there_hungry_adults_in_the_hh_who_went_w_o_eating_fo stringclasses 14
values | during_the_last_30_days_was_there_a_time_when_you_or_any stringclasses 9
values | during_the_last_30_days_was_there_a_time_when_you_or_any_2 stringclasses 7
values | during_the_last_30_days_was_there_a_time_when_you_or_any_3 stringclasses 7
values | during_the_last_30_days_was_there_a_time_when_you_or_any_4 stringclasses 10
values | during_the_last_30_days_was_there_a_time_when_you_or_any_5 stringclasses 8
values | was_the_respondent_employed_at_the_time_the_survey_was_c stringclasses 17
values | was_the_respondent_working_before_the_pandemic_yes_1_no stringclasses 21
values | has_the_respondent_stopped_working_since_covid_19_1_yes stringclasses 21
values | what_is_the_main_reason_the_respondent_is_unemployed_why stringclasses 31
values | what_is_the_main_reason_the_respondent_is_unemployed_cat stringclasses 19
values | what_is_the_main_activity_of_the_business_or_organizatio stringclasses 20
values | has_the_respondent_changed_jobs_since_the_beginning_of_t stringclasses 22
values | why_did_you_change_jobs_do_not_read_options_business_gov stringclasses 9
values | what_is_the_main_activity_of_the_business_or_organizatio_2 stringclasses 15
values | what_is_the_type_of_your_current_employment_categories_1 stringclasses 18
values | n_a_is_this_in_the_last_week_were_you_able_to_work_as_us stringclasses 15
values | has_your_income_changed_sincethe_pandemic_started_income stringclasses 17
values | does_the_respondent_or_any_member_of_the_household_own_o stringclasses 22
values | do_you_or_a_member_of_your_household_own_a_business_has stringclasses 15
values | is_the_respondent_or_anyone_in_the_household_engaging_in stringclasses 19
values | since_outbreak_month_have_you_been_able_to_perform_the_n stringclasses 18
values | change_in_non_labor_income_since_the_outbreak_increased stringclasses 23
values | since_date_outbreak_has_income_from_remittances_increase stringclasses 15
values | have_you_or_anyone_in_your_household_received_any_form_o stringclasses 27
values | have_you_received_assistance_financial_or_in_kind_food_d stringclasses 30
values | did_the_household_received_any_form_of_cash_or_in_kind_t stringclasses 28
values | if_assi_other_1_if_you_received_assistance_financial_or stringclasses 25
values | have_you_or_anyone_in_your_household_tried_to_obtain_som stringclasses 7
values | if_publicasst_attempt_1_why_were_you_unable_to_obtain_pu stringclasses 5
values | have_you_or_anyone_in_your_household_reduced_your_consum stringclasses 20
values | have_you_or_anyone_in_your_household_used_money_saved_fo stringclasses 21
values | have_you_or_anyone_in_your_household_sold_assets_such_as stringclasses 18
values | how_do_you_feel_about_the_possibility_that_you_or_someon stringclasses 11
values | do_you_feel_your_household_finances_are_threatened_due_t stringclasses 18
values | additional_notes stringclasses 4
values | uno float64 5 43 ⌀ | compara stringclasses 3
values | male float64 0 1 ⌀ | relation float64 0 1 ⌀ | age float64 0 1 ⌀ | elig_age float64 0 1 ⌀ | marital float64 0 1 ⌀ | educat4 float64 0 1 ⌀ | disabled_number float64 0 1 ⌀ | hhsize float64 0 1 ⌀ | children_number float64 0 1 ⌀ | elderly_number float64 0 1 ⌀ | urban float64 0 1 ⌀ | subnatid1 float64 0 1 ⌀ | access_internet float64 0 1 ⌀ | access_water float64 0 1 ⌀ | access_sanitation float64 0 1 ⌀ | knowledge_covid float64 0 1 ⌀ | knowledge_symptoms float64 0 1 ⌀ | know_pr_handwashing float64 0 1 ⌀ | know_pr_sanitizer float64 0 1 ⌀ | know_pr_greetings float64 0 1 ⌀ | know_pr_masks float64 0 1 ⌀ | know_pr_gloves float64 0 1 ⌀ | know_pr_travel float64 0 1 ⌀ | know_pr_home float64 0 1 ⌀ | know_pr_gathering float64 0 1 ⌀ | know_pr_face float64 0 1 ⌀ | know_go_home float64 0 1 ⌀ | know_go_travel float64 0 1 ⌀ | know_go_lockdown float64 0 1 ⌀ | know_go_closures float64 0 1 ⌀ | know_go_food float64 0 1 ⌀ | know_go_knowledge float64 0 1 ⌀ | know_pr_socdist float64 0 1 ⌀ | pers_satisfaction float64 0 1 ⌀ | behavior_handwashing float64 0 1 ⌀ | behavior_greeting float64 0 1 ⌀ | behavior_gathering float64 0 1 ⌀ | behavior_masks float64 0 1 ⌀ | behavior_distancing float64 0 1 ⌀ | access_medicine float64 0 1 ⌀ | acce_fs_rice float64 0 1 ⌀ | acce_fs_meat float64 0 1 ⌀ | acce_fs_veg float64 0 1 ⌀ | access_water_drink float64 0 1 ⌀ | access_water_wash float64 0 1 ⌀ | access_soap float64 0 1 ⌀ | acce_he_need float64 0 1 ⌀ | acce_he_services float64 0 1 ⌀ | acce_ed_before float64 0 1 ⌀ | acce_ed_after float64 0 1 ⌀ | access_financial float64 0 1 ⌀ | access_transport float64 0 1 ⌀ | hh_moved float64 0 1 ⌀ | hh_moved_date float64 0 1 ⌀ | ownhouse float64 0 1 ⌀ | number_rooms float64 0 1 ⌀ | acce_fsec_ranout float64 0 1 ⌀ | acce_fsec_hungry float64 0 1 ⌀ | acce_fsec_day float64 0 1 ⌀ | acce_fsec_worry float64 0 1 ⌀ | acce_fsec_unable float64 0 1 ⌀ | acce_fsec_few float64 0 1 ⌀ | acce_fsec_skip float64 0 1 ⌀ | acce_fsec_less float64 0 1 ⌀ | current_emp float64 0 1 ⌀ | prepan_emp float64 0 1 ⌀ | stop_working float64 0 1 ⌀ | unemployed_reason float64 0 1 ⌀ | prepan_emptype float64 0 1 ⌀ | prepan_lsector float64 0 1 ⌀ | change_jobs float64 0 1 ⌀ | change_reason float64 0 1 ⌀ | current_lsector float64 0 1 ⌀ | current_emptype float64 0 1 ⌀ | work_usual float64 0 1 ⌀ | income_change float64 0 1 ⌀ | ownbusiness float64 0 1 ⌀ | business_revenue float64 0 1 ⌀ | agribusiness float64 0 1 ⌀ | agribusiness_routine float64 0 1 ⌀ | change_nonlabor float64 0 1 ⌀ | assi_remittances float64 0 1 ⌀ | publicasst float64 0 1 ⌀ | assi_other float64 0 1 ⌀ | recd_transfer float64 0 1 ⌀ | assi_othersource float64 0 1 ⌀ | publicasst_attempt float64 0 1 ⌀ | publicasst_reason float64 0 1 ⌀ | cons_covid float64 0 1 ⌀ | savings float64 0 1 ⌀ | sold_assets float64 0 1 ⌀ | concern_ill float64 0 1 ⌀ | concern_finances float64 0 1 ⌀ | column float64 1 149 ⌀ | variable_name stringlengths 3 20 ⌀ | source stringclasses 2
values | module stringclasses 10
values | status stringclasses 2
values | type stringclasses 7
values | definition stringlengths 11 516 ⌀ | universe_of_variable_when_modules_questions_are_availabl stringclasses 26
values | observations stringclasses 7
values | d_1 float64 2 97 ⌀ | demographic stringclasses 14
values | demo_male stringlengths 6 16 ⌀ | males_respondents stringlengths 16 167 ⌀ |
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1f7fc336-a54e-40db-b89c-66b1a3e3cb40:1-summary:0 | DJI | Djibouti | 1-Summary | EAP | 5 | IDN KHM MMR MNG VNM | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/1f7fc336-a54e-40db-b89c-66b1a3e3cb40/download/covid19highfrequencymonitoringdashboarddatadictionary.xlsx | cc-by | 2026-08-16T10:32:57Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
1f7fc336-a54e-40db-b89c-66b1a3e3cb40:1-summary:1 | DJI | Djibouti | 1-Summary | ECA | 7 | ARM BGR HRV POL ROU TJK UZB | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/1f7fc336-a54e-40db-b89c-66b1a3e3cb40/download/covid19highfrequencymonitoringdashboarddatadictionary.xlsx | cc-by | 2026-08-16T10:32:57Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
1f7fc336-a54e-40db-b89c-66b1a3e3cb40:1-summary:2 | DJI | Djibouti | 1-Summary | LAC | 12 | ARG BOL CHL COL CRI ECU GTM HND MEX PER PRY SLV | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/1f7fc336-a54e-40db-b89c-66b1a3e3cb40/download/covid19highfrequencymonitoringdashboarddatadictionary.xlsx | cc-by | 2026-08-16T10:32:57Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
1f7fc336-a54e-40db-b89c-66b1a3e3cb40:1-summary:3 | DJI | Djibouti | 1-Summary | MNA | 6 | EGY LBY MAR PSE TUN YEM | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/1f7fc336-a54e-40db-b89c-66b1a3e3cb40/download/covid19highfrequencymonitoringdashboarddatadictionary.xlsx | cc-by | 2026-08-16T10:32:57Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
1f7fc336-a54e-40db-b89c-66b1a3e3cb40:1-summary:4 | DJI | Djibouti | 1-Summary | SAR | 8 | AFG BGD BTN IND LKA MDV NPL PAK | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/1f7fc336-a54e-40db-b89c-66b1a3e3cb40/download/covid19highfrequencymonitoringdashboarddatadictionary.xlsx | cc-by | 2026-08-16T10:32:57Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
1f7fc336-a54e-40db-b89c-66b1a3e3cb40:1-summary:5 | DJI | Djibouti | 1-Summary | SSA | 5 | BFA ETH MLI NGA UGA | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/1f7fc336-a54e-40db-b89c-66b1a3e3cb40/download/covid19highfrequencymonitoringdashboarddatadictionary.xlsx | cc-by | 2026-08-16T10:32:57Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
1f7fc336-a54e-40db-b89c-66b1a3e3cb40:1-summary:6 | DJI | Djibouti | 1-Summary | Total | 44 | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/1f7fc336-a54e-40db-b89c-66b1a3e3cb40/download/covid19highfrequencymonitoringdashboarddatadictionary.xlsx | cc-by | 2026-08-16T10:32:57Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
1f7fc336-a54e-40db-b89c-66b1a3e3cb40:2a-hh-survey-questions:0 | DJI | Djibouti | 2a_HH Survey Questions | Region | null | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/1f7fc336-a54e-40db-b89c-66b1a3e3cb40/download/covid19highfrequencymonitoringdashboarddatadictionary.xlsx | cc-by | 2026-08-16T10:32:57Z | null | Reviewer | Language | Survey Type (Firm/HH) | File name | Title | Country | Code | elig_hoh | male | relation | age | elig_age | marital | educat4 | disabled_number | hhsize | children_number | elderly_number | urban | subnatid1 | access_internet | access_water | access_sanitation | knowledge_covid | knowledge_symptoms | know_pr_handwashing | know_pr_sanitizer | know_pr_greetings | know_pr_masks | know_pr_gloves | know_pr_travel | know_pr_home | know_pr_gathering | know_pr_face | know_go_home | know_go_travel | know_go_lockdown | know_go_closures | know_go_food | know_go_knowledge | know_pr_socdist | pers_satisfaction | behavior_handwashing | behavior_greeting | behavior_gathering | behavior_masks | behavior_distancing | access_medicine | acce_fs_rice | acce_fs_meat | acce_fs_veg | access_water_drink | access_water_wash | access_soap | acce_he_need | acce_he_services | acce_ed_before | acce_ed_after | access_financial | access_transport | hh_moved | hh_moved_date | ownhouse | number_rooms | acce_fsec_ranout | acce_fsec_hungry | acce_fsec_day | acce_fsec_worry | acce_fsec_unable | acce_fsec_few | acce_fsec_skip | acce_fsec_less | current_emp | prepan_emp | stop_working | unemployed_reason | prepan_emptype | prepan_lsector | change_jobs | change_reason | current_lsector | current_emptype | work_usual | income_change | ownbusiness | business_revenue | agribusiness | agribusiness_routine | change_nonlabor | assi_remittances | publicasst | assi_other | recd_transfer | assi_othersource | publicasst_attempt | publicasst_reason | cons_covid | savings | sold_assets | concern_ill | concern_finances | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
1f7fc336-a54e-40db-b89c-66b1a3e3cb40:2a-hh-survey-questions:1 | DJI | Djibouti | 2a_HH Survey Questions | null | null | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/1f7fc336-a54e-40db-b89c-66b1a3e3cb40/download/covid19highfrequencymonitoringdashboarddatadictionary.xlsx | cc-by | 2026-08-16T10:32:57Z | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | *Why 7 days? | null | null | null | null | null | null | null | null | *this should have 8. | *this should have 8. | *this should have 8. | null | null | null | null | null | Wording choice | null | null | *where it comes from? | *where it comes from? | null | *this question cannot be estimated from previous questions. | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
1f7fc336-a54e-40db-b89c-66b1a3e3cb40:2a-hh-survey-questions:2 | DJI | Djibouti | 2a_HH Survey Questions | MNA | null | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/1f7fc336-a54e-40db-b89c-66b1a3e3cb40/download/covid19highfrequencymonitoringdashboarddatadictionary.xlsx | cc-by | 2026-08-16T10:32:57Z | 6 | RS | EN | HH | 06_QuestionnaireDraft-Covid19-Egypt | Questionnaire draft for a COVID-19 household phone survey in Egypt | Egypt | EGY | Not asked; ends interview if under 18 | Same | Same | Same, Age in years, terminate interview if <18. | Same; 18 | Same | Approximate, S2Q17: "What is the education level of the main income earner [head] of the household?" *ASKS SPEFICALLY FOR HoH EDUC INFO, NOT RESPONDENT IN GENERAL | Not asked | Approximate, What is the number of members usually living in the household? | Same | Not asked | Approximate, Section 1, question 5: What is the Governorate of your current residence?; S1Q6: In which district (Kism/Markaz) is your current residence?; S1Q7: Do you live in an urban or rural area?; | same | Not asked | Not asked | Not asked | Same, S5Q32: "Have you heard about the coronavirus?" | Not asked | Approximate, S5Q33: "Do you know how it is transmitted?" "Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY: Advised citizens to stay at home...y(1), n(2)...." [survey lists several other options that describe limiting mobil... | Approximate, S5Q33: "Do you know how it is transmitted?" "Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY: Advised citizens to stay at home...y(1), n(2)...." [survey lists several other options that describe limiting mobil... | Approximate, S5Q33: "Do you know how it is transmitted?" "Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY: Advised citizens to stay at home...y(1), n(2)...." [survey lists several other options that describe limiting mobil... | Approximate, S5Q33: "Do you know how it is transmitted?" "Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY: Advised citizens to stay at home...y(1), n(2)...." [survey lists several other options that describe limiting mobil... | Approximate, S5Q33: "Do you know how it is transmitted?" "Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY: Advised citizens to stay at home...y(1), n(2)...." [survey lists several other options that describe limiting mobil... | Approximate, S5Q33: "Do you know how it is transmitted?" "Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY: Advised citizens to stay at home...y(1), n(2)...." [survey lists several other options that describe limiting mobil... | Approximate, S5Q33: "Do you know how it is transmitted?" "Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY: Advised citizens to stay at home...y(1), n(2)...." [survey lists several other options that describe limiting mobil... | Approximate, S5Q33: "Do you know how it is transmitted?" "Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY: Advised citizens to stay at home...y(1), n(2)...." [survey lists several other options that describe limiting mobil... | Approximate, S5Q33: "Do you know how it is transmitted?" "Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY: Advised citizens to stay at home...y(1), n(2)...." [survey lists several other options that describe limiting mobil... | Same; Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY ADVISED CITIZENS TO STAY AT HOME YES...1; NO ...2 | Same; Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY Restricted travel within country/area; restricted international travel YES...1; NO ...2 | Same; Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY Curfew/Lockdown YES...1; NO ...2 | Approximate: Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY CLOSURE OF NON ESSENTIAL BUSINESSES YES...1; NO ...2 | Not asked | Approximate; Can proxy from: How or from where did you learn about these steps? CHOOSE ALL THAT APPLY: Local Government 1=Yes; 0=No | Approximate, S5Q33: "Do you know how it is transmitted?" "Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY: Advised citizens to stay at home...y(1), n(2)...." [survey lists several other options that describe limiting mobil... | Not asked | Approximate, S5Q37: "What measures did you and your family members take to protect yourselves: Wash hands with soap more often than you used to... yes(1) no(2)...." [also lists several other measures where the respondent can answer yes or no] | Approximate, S5Q37: "What measures did you and your family members take to protect yourselves: Wash hands with soap more often than you used to... yes(1) no(2)...." [also lists several other measures where the respondent can answer yes or no] | Approximate, S5Q37: "What measures did you and your family members take to protect yourselves: Wash hands with soap more often than you used to... yes(1) no(2)...." [also lists several other measures where the respondent can answer yes or no] | Approximate, S5Q37: "What measures did you and your family members take to protect yourselves: Wash hands with soap more often than you used to... yes(1) no(2)...." [also lists several other measures where the respondent can answer yes or no] | Approximate, S5Q37: "What measures did you and your family members take to protect yourselves: Wash hands with soap more often than you used to... yes(1) no(2)...." [also lists several other measures where the respondent can answer yes or no] | Approximate, S4Q30: "Is [ITEM] currently available for purchase in your village /neighborhood?" Survey lists bread, macaroni, cooking oil, sugar, hand soap, medicine. | Approximate, S4Q30: "Is [ITEM] currently available for purchase in your village /neighborhood?" Survey lists bread, macaroni, cooking oil, sugar, hand soap, medicine. | Approximate, S4Q30: "Is [ITEM] currently available for purchase in your village /neighborhood?" Survey lists bread, macaroni, cooking oil, sugar, hand soap, medicine. | Approximate, S4Q30: "Is [ITEM] currently available for purchase in your village /neighborhood?" Survey lists bread, macaroni, cooking oil, sugar, hand soap, medicine. | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Same: 14 | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Approximate, S2Q19: "Last week, that is from Monday [DATE] up to Sunday [DATE], did the main income earner work for pay, any kind of business, farming or other activity to generate income, even if only for one hour?" | Same, S2Q20: "Was the main income earner working before [OUTBREAK_MONTH]?" | Not asked | Approximate; Why was the main income earner not working? LOSS JOB AND NEVER FOUND A NEW ONE ...1 IS CURRENTLY STUDYING ...2 RETIRED ...3 SICK OR NOT FEELING WELL ...4 NEED TO CARE FOR ILL RELATIVE ...5 OTHER, SPECIFY ...6 | NOT IN SURVEY | NOT IN SURVEY | Approximate; Can proxy if responses to following two questions differ: Last week, that is from Monday [DATE] up to Sunday [DATE], did the main income earner work for pay, any kind of business, farming or other activity to generate income, even if only for one hour? Was the main income earner working before [OUTBREAK_MO... | Not asked | Approximate, Survey does not specify before/after pandemic: S2Q22: "'What type of work did the main income earner of your household engaged in?" | NOT IN SURVEY | Same, S2Q24: "In the last week, either by going to office or working from home, did the main income earner work…? " | NOT IN SURVEY | Approximate; Can proxy if declares "self-employed" What is the employment type of the main income earner? ... READ RESPONSES Self-Employed ...1 Informal Private (informal is defined as NO contract OR No social insurance) ...2 Formal Private (formal is defined as either having a contract OR social insurance) ...3 Public... | NOT IN SURVEY | NOT IN SURVEY | NOT IN SURVEY | Not asked | Not asked | Approximate: 29 | Approximate; Are you (or your family) a beneficiary of any of the following social assistance programs: FOOD AND RATION CARDS YES...1 NO ...2 TAKAFUL AND KARAMA YES...1 NO ...2 DAMAN SOCIAL SOLIDARITY PENSION YES...1 NO ...2 SEASONAL WORKERS ASSISTANCE YES...1 NO ...2 PENSIONS YES...1 NO ...2 OTHER CASH TRANSFER PROGRA... | Approximate; Have you benefited from any additional social assistance measures during the past [outbreak_date] after coronavirus outbreak? OTHER CASH TRANSFER PROGRAMS OFFERED BY GOVERNMENT (SPECIFY) YES...1 NO ...2 | Approximate; Have you benefited from any additional social assistance measures during the past [outbreak_date] after coronavirus outbreak? DAMAN SOCIAL SOLIDARITY PENSION YES...1 NO ...2 SEASONAL WORKERS ASSISTANCE YES...1 NO ...2 PENSIONS YES...1 NO ...2 OTHER CASH TRANSFER PROGRAMS OFFERED BY GOVERNMENT (SPECIFY) YES... | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
1f7fc336-a54e-40db-b89c-66b1a3e3cb40:2a-hh-survey-questions:3 | DJI | Djibouti | 2a_HH Survey Questions | ECA | null | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/1f7fc336-a54e-40db-b89c-66b1a3e3cb40/download/covid19highfrequencymonitoringdashboarddatadictionary.xlsx | cc-by | 2026-08-16T10:32:57Z | 7 | RS | EN | HH | 07_QuestionnaireDraft-Covid19-L2CU | Questionnaire of the 'normal' L2CU (Uzbekistan) phone survey | Uzbekistan | UZB | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | null | Not asked | Not asked | Not asked | Approximate, Q1) How concerned are you today about the potential effects of COVID-19 on you and your family? a. Very concerned b. Somewhat concerned c. Mostly unconcerned d. Not concerned at all | Not asked; only asked: Record for yourself the presence of absence of signs and symptoms listed below, and the duration of each of the signs and symptoms if “yes” to any. Then complete for other household members. a. Fever (yes/no); if yes, duration in days b. Cough (yes/no); if yes, duration in days c. Shortness of br... | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked; generally asked via: Have you personally heard any instructions from officials in Government about how to reduce risks from COVID-19 in the past 7 days? – Yes/No | Not asked; generally asked via: Have you personally heard any instructions from officials in Government about how to reduce risks from COVID-19 in the past 7 days? – Yes/No | Not asked; generally asked via: Have you personally heard any instructions from officials in Government about how to reduce risks from COVID-19 in the past 7 days? – Yes/No | Not asked; generally asked via: Have you personally heard any instructions from officials in Government about how to reduce risks from COVID-19 in the past 7 days? – Yes/No | Not asked; generally asked via: Have you personally heard any instructions from officials in Government about how to reduce risks from COVID-19 in the past 7 days? – Yes/No | Not asked; generally asked via: Have you personally heard any instructions from officials in Government about how to reduce risks from COVID-19 in the past 7 days? – Yes/No | Same, Q4) Have you personally heard any instructions from officials in Government about how to reduce risks from COVID-19 in the past 7 days? – Yes/No | Not asked | Approximate, 2) Have you and your household members changed any part of your normal routine(s) due to concerns about COVID-19? – Yes/No 2a) If yes, how so? Option i: more handwashing... 3) How many times did you wash your hands yesterday? | Approximate, 2) Have you and your household members changed any part of your normal routine(s) due to concerns about COVID-19? – Yes/No 2a) If yes, how so? Option i: more handwashing... 3) How many times did you wash your hands yesterday? | Approximate, 2) Have you and your household members changed any part of your normal routine(s) due to concerns about COVID-19? – Yes/No 2a) If yes, how so? Option i: more handwashing... 3) How many times did you wash your hands yesterday? | Approximate, 2) Have you and your household members changed any part of your normal routine(s) due to concerns about COVID-19? – Yes/No 2a) If yes, how so? Option i: more handwashing... 3) How many times did you wash your hands yesterday? | Approximate, 2) Have you and your household members changed any part of your normal routine(s) due to concerns about COVID-19? – Yes/No 2a) If yes, how so? Option i: more handwashing... 3) How many times did you wash your hands yesterday? | Same, 7) Has any member of your household been unable to buy any goods because they are out of stock? – Yes/No a. If yes, what items? i. Masks ii. Soap iii. Hand Sanitizer iv. Food items v. Medicine | Approximate, EDIT SURVEY: current q below, need to first ask if they can't buy, then ask for reasons: Q7) Has any member of your household been unable to buy any goods because they are out of stock? – Yes/No a. If yes, what items? i. Masks ii. Soap iii. Hand Sanitizer iv. Food items v. Medicine | Approximate, EDIT SURVEY: current q below, need to first ask if they can't buy, then ask for reasons: Q7) Has any member of your household been unable to buy any goods because they are out of stock? – Yes/No a. If yes, what items? i. Masks ii. Soap iii. Hand Sanitizer iv. Food items v. Medicine | Approximate, EDIT SURVEY: current q below, need to first ask if they can't buy, then ask for reasons: Q7) Has any member of your household been unable to buy any goods because they are out of stock? – Yes/No a. If yes, what items? i. Masks ii. Soap iii. Hand Sanitizer iv. Food items v. Medicine | Not asked | Not asked | Approximate; Has any member of your household been unable to buy any goods because they are out of stock? – Yes/No a. If yes, what items? i. Masks ii. Soap iii. Hand Sanitizer iv. Food items v. Medicine | Approximate; asked re: last 30 days Has any member of your household attempted to obtain medical treatment in the past 30 days? -Yes/No a. If yes, ID(s) 9) Was [ID] successful in obtaining the desired treatment? -Yes/No | Approximate; asked re: last 30 days Has any member of your household attempted to obtain medical treatment in the past 30 days? -Yes/No a. If yes, ID(s) 9) Was [ID] successful in obtaining the desired treatment? -Yes/No | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Apploximate; How concerned are you today about the potential effects of COVID-19 on you and your family? a. Very concerned b. Somewhat concerned c. Mostly unconcerned d. Not concerned at all | Not asked | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
1f7fc336-a54e-40db-b89c-66b1a3e3cb40:2a-hh-survey-questions:4 | DJI | Djibouti | 2a_HH Survey Questions | SSA | null | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/1f7fc336-a54e-40db-b89c-66b1a3e3cb40/download/covid19highfrequencymonitoringdashboarddatadictionary.xlsx | cc-by | 2026-08-16T10:32:57Z | 8 | RS | EN | HH | 08_QuestionnaireDraft-Covid19-LSMS | Questionnaire draft from LSMS-IZA | Nigeria | NGA | Not asked | Same, but note that this survey asks the respondent to identify the gender of all HH members | Approximate; asked for all members of HH | Same | Not asked | Not asked | Not asked | Not asked | Approximate, | Same; Can you give us the name and age of all household members | Same; Can you give us the name and age of all household members | Not asked | Same | Not asked | Not asked | Not asked | Same, S3Q1 | Not asked | Same, S3Q10 | Same, S3Q10 | Same, S3Q10 | Approximate, S3Q10 | Approximate, S3Q10 | Same, S3Q10 | Same, S3Q10 | Not asked | Not asked | Same; S3Q11 Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY ADVISED CITIZENS TO STAY AT HOME YES...1; NO ...2 | Same; Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY Restricted travel within country = 2/area; restricted international travel = 3 | Same; Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY Curfew/Lockdown = 5 | Same; Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY CLOSURE OF NON ESSENTIAL BUSINESSES YES...1; NO ...2 | Not asked | Not asked | Same, S3Q5 | Not asked | Approximate, S4Q1: Last week, did you wash your hands with soap more often than you used to? | Approximate, S4Q3: Last week, did you wash your hands with soap more often than you used to? | Same, S4Q14 Last week, did you wash your hands with soap more often than you used to? | Approximate, S4Q1: Last week, did you wash your hands with soap more often than you used to? | Approximate, S4Q1: Last week, did you wash your hands with soap more often than you used to? | Approximate, S5Q1: In the last week, has your household been unable to buy [ITEM] because they are out of stock? | Approximate, S5Q1: In the last week, has your household been unable to buy [ITEM] because they are out of stock? | Not asked: only general food items | Not asked: only general food items | Not asked: only general food items | Not asked: only general food items | Approximate; In the last week, has your household been unable to buy [ITEM] because they are out of stock? Soap Yes = 1, No = 2, Not tried = 3 | Approximate; asked about last 30 days Have you or any member of your household attempted to obtain medical treatment in the past 30 days? Were you or the member of your household successful in obtaining the desired treatment? | Approximate; asked about last 30 days Have you or any member of your household attempted to obtain medical treatment in the past 30 days? Were you or the member of your household successful in obtaining the desired treatment? | Not asked | Approximate; Last week, did you stop sending children to school? | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Same | Same | Same | Same | Same | Same | Same | Same | Same | Same:S6Q8 | Not asked | Approximate; "Why did you stop working? At present are you trying to find a paid job or start a business? "What is the main reason you are not trying to find a paid job or start a business? | Same | Same | Approximate; Can proxy if responses to following two questions differ: Last week, that is from Monday [DATE] up to Sunday [DATE], did the main income earner work for pay, any kind of business, farming or other activity to generate income, even if only for one hour? Were you working before [OUTBREAK_MONTH]? | Not asked | Not asked | Same | Same, S6Q13: In the last week, were you able to go to the place of work or work from home as usual for your wage job? | Same | Same; Since the beginning of 2020, did you or any member of your household operate a family business? | Same | Approximate, S6Q19: Do you or any member of your household work on a family farm growing crops or raising livestock? | Approximate, S6Q20: Since the last month, have you been able to perform the normal activities on the farm or raising livestock? | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Same; How concerned are you today about the potential effects of COVID-19 on you and your family? a. Very concerned b. Somewhat concerned c. Mostly unconcerned d. Not concerned at all | Not asked specifically re: finances: How concerned are you today about the potential effects of the coronavirus on you and your family? | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
1f7fc336-a54e-40db-b89c-66b1a3e3cb40:2a-hh-survey-questions:5 | DJI | Djibouti | 2a_HH Survey Questions | MNA | null | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/1f7fc336-a54e-40db-b89c-66b1a3e3cb40/download/covid19highfrequencymonitoringdashboarddatadictionary.xlsx | cc-by | 2026-08-16T10:32:57Z | 9 | RS | EN | HH | 09_QuestionnaireDraft-Covid19-MENA | Questionnaire draft for a phone survey in MENA countries | 0 | 0 | Approximate; SCRN2: Are you the head of a family? 1. YES 2. NO (OPERATOR: Try to ask if you can talk to the head of the family) | Same | Not asked | Same | Same; 18 | Same | Same | Not asked-App; Are there any pregnant women in this household? | Same: 109 How many household members, including you, participate in any paid work or business either in or outside the household? - App; only asked if under 5: Are there any children in this household under 5 years? Are there any primary school age children living in this household (age 6-12)? Are there any children ov... | Same; | Same: 502 | Approximate, S1Q107:In which district (Quadha) within [GOVERNORATE] are you currently? | Same | Not asked | Not asked | Not asked | Same | Not asked | Same | Same | Same | Same | Same | Same | Same | Same | Same | Same; Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY ADVISED CITIZENS TO STAY AT HOME YES...1; NO ...2 | Same; Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY Restricted travel within country = 2/area; restricted international travel = 3 | Same; Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY Curfew/Lockdown = 5 | Same; Do you know any steps that the government/local authorities have taken to curve the spread of the Coronavirus in your area? CHOOSE ALL THAT APPLY CLOSURE OF NON ESSENTIAL BUSINESSES YES...1; NO ...2 | Not asked | Approximate; Can proxy from: What is the primary source from which you acquire your information about the CORONAVIRUS? CHOOSE ALL THAT APPLY: Government source/Local Authority = 9 | Approximate: ave you received any information on social distancing and self qurantine as a preventive measures against the Coronavirus? | Not asked | Same: 306 What other measures did you and your family members take to protect yourselves. WASH HANDS OFTEN 1 USE SANITIZERS 2 USE MASKS/GLOVES 3 FOOD STOCKING 4 STOP SENDING CHILDREN TO SCHOOL 5 STOP GOING TO WORK 6 OTHER,SPECIFY 7 | Not asked | Not asked | Same: 306 What other measures did you and your family members take to protect yourselves. WASH HANDS OFTEN 1 USE SANITIZERS 2 USE MASKS/GLOVES 3 FOOD STOCKING 4 STOP SENDING CHILDREN TO SCHOOL 5 STOP GOING TO WORK 6 OTHER,SPECIFY 7 | Same: 304 | Not asked | Approximate, S6Q601: Is imported rice currently available for sale in your village / neighborhood?; S6Q604: Has there been any time in the last 4 weeks (30 days) that you were not able to buy enough imported rice? | Approximate, S6Q607: Is wheat flour currently available for sale in your village / neighborhood? | Not asked | Not asked | Not asked | Not asked | Approximate: 504 and 509 | Approximate; 505 and 510 How frequently are you and/or any family member with either chronic heart or lung illnesses, or have had cancer able to go for regular health check-up? Compared to before [OUTBREAK_MONTH], are you and/or this family member suffering fom either chronic heart or lung illnesses, or have had cancer... | Approximate; 513 Are these children going to school now? 515 SCHOOLS ARE CLOSED DUE TO VIRUS 1 FEAR OF CORONAVIRUS INFECTION 6, Children over 12 year old (518, 520) | Approximate; 515 -> 1 and 516 What are the alternative methods that you are using to do home schooling of your child/children? | Not asked | Not asked | Not asked | Not asked | Not asked | Not asked | Approximate, S6Q611:…..there was no food to eat of any kind in your house because of lack of resources to get food? | Approximate, S6Q611....did you or any household member go to sleep at night hungry because there was not enough food? | Approximate, S6Q611: …did you or any household member go a whole day and night without eating anything at all because there was not enough food? | Approximate: 610 In the past 4 weeks (30 days), did you ever worried that your household would not have enough food? | Approximate: 611 …your household relied on less preferred and / or less expensive foods? | Approximate: 611…did you or any household member limit portion size at meal-times? | Approximate, S6Q611:…did you or any household member have to eat fewer meals in a day because there was not enough food? | Not asked | Same: 401 In the last 7 days, did you do any work for a wage, salary or any other pay OR do any kind of business, farming or other activity to generate income even if only for one hour? | Same: 408 Were you working before [OUTBREAK_MONTH]? | Not asked | Approximate; 409 Why did you stop working? SEASONAL WORKER BUSINESS / GOV'T CLOSED REDUCTION IN STAFF DUE TO LESS BUSINESS TEMPORARILY ABSENT RETIRED ILL NEED TO CARE FOR ILL RELATIVE OTHER, SPECIFY | Approximate: S4Q417: "Does anyone (including you) in the household operate a business? " | Same | Not asked | Not asked | Approximate, S4Q407: What is the sector of this employment; does not specify time period | Approximate, S4Q404:EMPLOYEE EMPLOYER SELF-EMPLOYED CASUAL/IRREGULAR PAID WORKER DAY LABOR DOMESTIC WORKER IN A PRIVATE HOUSEHOLD OTHER, PLEASE SPECIFY | Approximate, S4Q413: Can you go to office (place of work) or work from home as usual? | Approximate, S4Q414: Would you get paid as usual? | Same; 417 Does anyone (including you) in the household operate a business? | Approximate, S4Q419: Since [OUTBREAK_MONTH], is the income from your business… | Same, S4Q421: Does anyone (including you) in the household practice agriculture? | Not asked | Approximate: S7 | Approximate; if = 1/2 Since [OUTBREAK_MONTH], did any household member receive cash assistance from [SOURCE]...? FAMILY/FRIENDS DOMESTICALLY = 1 FAMILY/FRIENDS INTERNATIONALLY =2 GOVERNMENT = 3 INTERNATIONAL ORGANIZATIONS/DONORS (e.g. UN) = 4 NGO/CHARITABLE ORGANIZATIONS = 5 OTHER, SPECIFY = 6 Compared to before [OUTBR... | Same: S7 | Approximate; In the past 4 weeks (30 days) did your household receive any ration food from PDS? Since [OUTBREAK_MONTH], did any household member receive cash assistance from [SOURCE]...? | Approximate;Since [OUTBREAK_MONTH], did any household member receive cash assistance from [SOURCE]...? FAMILY/FRIENDS DOMESTICALLY FAMILY/FRIENDS INTERNATIONALLY GOVERNMENT INTERNATIONAL ORGANIZATIONS/DONORS (e.g. UN) NGO/CHARITABLE ORGANIZATIONS OTHER, SPECIFY | Approximate; Since [OUTBREAK_MONTH], did any household member receive cash assistance from [SOURCE]...? FAMILY/FRIENDS DOMESTICALLY 1 FAMILY/FRIENDS INTERNATIONALLY 2 GOVERNMENT 3 INTERNATIONAL ORGANIZATIONS/DONORS (e.g. UN) 4 NGO/CHARITABLE ORGANIZATIONS 5 OTHER, SPECIFY 6 | Not asked | Not asked | Approximate; In the past 4 weeks (30 days), how many days… [IF NO DAYS, RECORD ZERO] …your household relied on less preferred and / or less expensive foods? …did you or any household member limit portion size at meal-times? | Not asked | Not asked | Approximate; 310 Are you feeling nervous OR anxious due to the CORONAVIRUS outbreak? (Yes/No) What is your major reason for worrying or being anxious? FEAR OF LOSS OF EMPLOYMENT/BUSINESS = 1 FEAR OF MYSELF AND/OR FAMILY GETTING INFECTED BY CORONAVIRUS = 2 FEAR OF MYSELF AND/OR FAMILY DYING DUE TO THE CORONAVIRUS = 3 FE... | Approximate; 311What is your major reason for worrying or being anxious? FEAR OF LOSS OF EMPLOYMENT/BUSINESS 1 FEAR OF MYSELF AND/OR FAMILY GETTING INFECTED BY CORONAVIRUS 2 FEAR OF MYSELF AND/OR FAMILY DYING DUE TO THE CORONAVIRUS 3 FEAR OF NOT BEING ABLE TO FEED CHILD/CHILDREN DUE TO SCHOOL CLOSURES 4 FEAR OF LOSING ... | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
1f7fc336-a54e-40db-b89c-66b1a3e3cb40:2a-hh-survey-questions:6 | DJI | Djibouti | 2a_HH Survey Questions | SAR | null | null | null | null | null | World Bank Group | COVID-19 High-Frequency indicators | COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40 | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/1f7fc336-a54e-40db-b89c-66b1a3e3cb40/download/covid19highfrequencymonitoringdashboarddatadictionary.xlsx | cc-by | 2026-08-16T10:32:57Z | 10 | FC | EN | HH | 11_QuestionnaireDraft-Covid19-SAR | Questionnaire for SAR RDD Covid-19 Response; SAR COVID-19 Rapid Surveys, Round 1 4/1/2020 | Afghanistan | AFG | Approximate; SCRN2: Asked to speak to mother if < 15; survey continues if 15 + | Same | Not asked | Same | Same; 15 | Not asked | Same | Not asked | Same | Same; Number of boys and girls <9 | Same; Number of men and women 65+ | Same | same | Not asked | Not asked | Not asked | Same; 8.1 Have you heard of the outbreak of the Coronavirus? (Also refer to the virus as Corona, or COVID-19) | Not asked | Not asked; 8.2 generally asked Have you received any information on how you can protect yourself from the Coronavirus? | Not asked; 8.2 generally asked Have you received any information on how you can protect yourself from the Coronavirus? | Not asked; 8.2 generally asked Have you received any information on how you can protect yourself from the Coronavirus? | Not asked; 8.2 generally asked Have you received any information on how you can protect yourself from the Coronavirus? | Not asked; 8.2 generally asked Have you received any information on how you can protect yourself from the Coronavirus? | Not asked; 8.2 generally asked Have you received any information on how you can protect yourself from the Coronavirus? | Not asked; 8.2 generally asked Have you received any information on how you can protect yourself from the Coronavirus? | Not asked; 8.2 generally asked Have you received any information on how you can protect yourself from the Coronavirus? | Not asked; 8.2 generally asked Have you received any information on how you can protect yourself from the Coronavirus? | Not asked; generally asked: Have you received any information on how you can protect yourself from the Coronavirus? | Not asked; generally asked: Have you received any information on how you can protect yourself from the Coronavirus? | Not asked; generally asked: Have you received any information on how you can protect yourself from the Coronavirus? | Not asked; generally asked: Have you received any information on how you can protect yourself from the Coronavirus? | Not asked; generally asked: Have you received any information on how you can protect yourself from the Coronavirus? | Not asked; generally asked: Have you received any information on how you can protect yourself from the Coronavirus? | Not asked; generally asked: Have you received any information on how you can protect yourself from the Coronavirus? | Not asked | Approximate; 8.3.1 Are you able to wash your hands with soap and clean water when you come back home and before and after meals? | Not asked | Same; 8.3.6 Were you present anywhere, such as parties, funerals and weddings, with more than 10 people around you? | Not asked | Approximate; 8.3.4 Did you leave the house for non-work reasons? | Same; 5.3 "Were the following items easily available in local markets during the last 7 days?",5. Medicines for cold, cough, fever | Approximate; 5.3 Were the following items easily available in local markets during the last 7 days? (Four items per country + Medicine for all) 1. Yes 2. No | Approximate; 5.3 Were the following items easily available in local markets during the last 7 days? (Four items per country + Medicine for all) 1. Yes 2. No | Approximate; 5.3 Were the following items easily available in local markets during the last 7 days? (Four items per country + Medicine for all) 1. Yes 2. No | Not asked | Approximate; can proxy with: Why do you not wash your hands with soap? 1. Not enough clean water 2. Soap unavailable in market 3. Cannot afford soap 4. Other | Approximate; Are you able to wash your hands with soap and clean water when you come back home and before and after meals? 1. Yes 2. No Why do you not wash your hands with soap? 1. Not enough clean water 2. Soap unavailable in market 3. Cannot afford soap 4. Other | Approximate; ref period = last 2 weeks; 7.3 Did you or the household member seek medical attention? 1. Yes 2. No 7.4 Were you able to receive medical attention? 1. Yes 2. No | Approximate; ref period = last 2 weeks; 7.3 Did you or the household member seek medical attention? 1. Yes 2. No 7.4 Were you able to receive medical attention? 1. Yes 2. No | Not asked | Approximate; Did children in household go to school, even for one day, in past 7 days? 1. Yes 2. No | Not asked | Not asked | Same | Same | Not asked | Not asked | Approximate fron other questions: 6.1 Was your household able to afford to buy food and other basic items over the past 7 days? 1. Yes 2. No 6.2 During the last 7 days, was there a time when you, or any other adult household, had to skip a meal because there was not enough money or other resources to get food? 1. Yes 2... | Not asked | Not asked | Approximate: Was your household able to afford to buy food and other basic items over the past 7 days? | Not asked | Not asked | Approximate: ref =7 days 6.2 During the last 7 days, was there a time when you, or any other adult household, had to skip a meal because there was not enough money or other resources to get food? | Not asked | Same; 4.03 Last week, that is from Monday [DATE] up to Sunday [DATE], did you do any work for pay, do any kind of business, farming or other activity to generate income, even if only for one hour? 1. Yes 2. No | Approximate; 2 questions: 4.05 Did you work for at least 1 hour for pay in any job or activity between 1 January and 1 March 2020? 1 Yes 2 No; 4b.07 What job/work were you engaged in before 1 March? enter brief job description: | Approximate: from not working reasons | Approximate; 4b.24, 4b.25, 4c.24 why di d you not owk during the last week? / Why did you stop working? [ Do not Read Options ] 1=Lost Job due to Covid-19 2=Unable work/conduct economic activity due to COVID-19 3=Seasonal worker 4=Business / Gov't closed 5=Reduction in staff/ less business 6=Retired 7=Sick or not feeli... | Approximate; 4.03 Last week, that is from Monday [DATE] up to Sunday [DATE], did you do any work for pay, do any kind of business, farming or other activity to generate income, even if only for one hour? 1. Yes 2. No | Approximate; 2 questions: 4c.09 What kind of organization/individual did you work for? 4c.12 "as this activity/enterprise/business under ---? 1 Agriculture 2 Manufacturing 3 Services | Approximate; 4b.04Is this the same job/activity that you were working in before 1 March 2020? 1=Yes; 2 No | Not asked | Approximate; 2 questions: 4a.10 What kind of organization/individual do you work for? Needs to be asked as long as 4a.06 and 4a.07 are non-missing 4a.18 Is this activity/enterprise/business under ---? | Not asked | Not asked | Approximate; 4a 17 Was this income more, less or the same as what you usually earn in a regular week? 1 More than usual 2 About the same 3 Less than usual | Approximate: self-employed section 4 a, b,c -18 | Approximate; 4a 21 & 4b 21Was this revenue more, less or the same as the revenue you earn in a regular month? 1 More than usual 2 About the same 3 Less than usual | Approximate: self-employed section 4 a, b,c -18 1 Agriculture | Approximate: 4a.22 & 4b.22 Were you able to sell your produce through the usual channels (local markets, wholesalers, traders) over the last 7 days? | Not asked - except approximate remittance | Approximate; Was this amount more, less or the same as usual? | Approximate: gov/other is not separated 6.9 Did anyone in your household receive any assistance from Government or NGOs since March 1, 2020? 6.1O Were you receiving this assistance before March 1, 2020? 6.12 Have any new assistance programs started in your area because of Coronavirus? | Approximate; Did anyone in your household receive any assistance from Government or NGOs since March 1, 2020? Were you receiving this assistance before March 1, 2020? What type of [ASSISTANCE] are you receiving? 1. Cash transfer | Approximate; Did anyone in your household receive any assistance from Government or NGOs since March 1, 2020? Were you receiving this assistance before March 1, 2020? What type of [ASSISTANCE] are you receiving? 1. Cash transfer | Approximate; If you needed help to pay for food and other basic needs, who would you turn to first? 1. Mosque/temple/religious leaders 2. Local government 3. Friends, neighbors, family 4. Local charity or NGO 5. Money lenders, savings groups, other loan sources 6. Other (specify) What type of [ASSISTANCE] are you recei... | Not asked | Not asked | Not asked | Same; Did your household need to take any money from savings over the last 7 days to pay for food or other basic needs? | Same; Did your household sell any assets over the last 7 days to pay for food or other basic needs? | Not asked | Not asked | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
End of preview. Expand in Data Studio
COVID-19 High-Frequency indicators | Africa (Djibouti official open data)
332 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from Djibouti as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
- Source: COVID-19 High-Frequency indicators
- Publisher: World Bank Group
- Resource: COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx
- Format:
XLSX - License: CC BY 4.0
- Packaging mode:
tabular_resource
Geographic coverage
1 Africa country:
| Country | Rows | First year | Last year | Name |
|---|---|---|---|---|
DJI |
332 | n/a | n/a | Djibouti |
Indicators or Resource Contents
- This source file is packaged as a normalized tabular resource.
Schema
| Column | Type | Description | Example |
|---|---|---|---|
source_record_id |
string |
Stable row identifier for tabular resources. | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40:1-summary:0 |
country_iso3 |
category |
ISO3 country code. | DJI |
country_name |
category |
Country name. | Djibouti |
source_sheet |
string |
Workbook sheet name, when the source is a spreadsheet. | 1-Summary |
region |
string |
Source column. | EAP |
number_of_countries |
float64 |
Source column. | 5.0 |
list_of_code |
string |
Source column. | IDN KHM MMR MNG VNM |
source_period_start_year |
Int64 |
First year inferred from source resource metadata. | `` |
source_period_end_year |
Int64 |
Last year inferred from source resource metadata. | `` |
source_period_label |
string |
Human-readable period inferred from source resource metadata. | `` |
source_provider |
category |
Publishing organization. | World Bank Group |
source_dataset |
category |
Source package title. | COVID-19 High-Frequency indicators |
source_resource |
category |
Source resource title. | COVID19HighFrequencyMonitoringDashboardDataDictionary.xlsx |
source_package_id |
category |
CKAN package UUID. | 0d94e0ba-2fe1-403f-a25a-9efb03b50594 |
source_resource_id |
category |
CKAN resource UUID. | 1f7fc336-a54e-40db-b89c-66b1a3e3cb40 |
source_url |
category |
Original source resource URL. | https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/re |
license_id |
category |
Source license identifier. | cc-by |
retrieved_at |
category |
UTC retrieval timestamp. | 2026-08-16T10:32:57Z |
id |
float64 |
Source column. | `` |
reviewer |
string |
Source column. | `` |
language |
string |
Source column. | `` |
survey_type_firm_hh |
string |
Source column. | `` |
file_name |
string |
Source column. | `` |
title |
string |
Source column. | `` |
country |
string |
Source column. | `` |
code |
string |
Source column. | `` |
indicator_for_whether_or_not_the_survey_states_the_inter |
string |
Source column. | `` |
gender_of_respondent_male_1_female_0_unknown |
string |
Source column. | `` |
relation_to_head_of_hh_numeric_1_head_2_spouse_3_childre |
string |
Source column. | `` |
age_of_respondent |
string |
Source column. | `` |
minimum_age_of_eligiblity_to_speak_to_interviewer_i_e_15 |
string |
Source column. | `` |
d_1_married_2_never_married_3_living_together_4_divorced |
string |
Source column. | `` |
respondent_education_level_in_4_categories_1_no_educatio |
string |
Source column. | `` |
of_hh_members_w_disabilities |
string |
Source column. | `` |
total_of_residents_regular_members_in_hh_definition_of_r |
string |
Source column. | `` |
of_hh_members_less_than_15_years_old |
string |
Source column. | `` |
of_hh_members_over_65 |
string |
Source column. | `` |
indicator_of_hh_urban_rural_sector_1_urban_0_non_urban_r |
string |
Source column. | `` |
in_what_state_are_you_currently |
string |
Source column. | `` |
does_your_household_have_access_to_internet_at_your_home |
string |
Source column. | `` |
in_the_last_week_what_was_the_the_main_source_of_drinkin |
string |
Source column. | `` |
in_the_last_week_what_kind_of_toilet_facility_did_member |
string |
Source column. | `` |
have_you_heard_about_the_coronavirus_pandemic_yes_1_no_0 |
string |
Source column. | `` |
is_the_respondent_able_to_list_three_symptoms_on_the_who |
string |
Source column. | `` |
does_the_respondent_know_preventive_measures_for_covid_1 |
string |
Source column. | `` |
does_the_respondent_know_preventive_measures_for_covid_1_2 |
string |
Source column. | `` |
does_the_respondent_know_preventive_measures_for_covid_1_3 |
string |
Source column. | `` |
does_the_respondent_know_preventive_measures_for_covid_1_4 |
string |
Source column. | `` |
does_the_respondent_know_preventive_measures_for_covid_1_5 |
string |
Source column. | `` |
does_the_respondent_know_preventive_measures_for_covid_1_6 |
string |
Source column. | `` |
does_the_respondent_know_preventive_measures_for_covid_1_7 |
string |
Source column. | `` |
does_the_respondent_know_preventive_measures_for_covid_1_8 |
string |
Source column. | `` |
does_the_respondent_know_preventive_measures_for_covid_1_9 |
string |
Source column. | `` |
are_you_aware_of_the_following_government_local_authorit |
string |
Source column. | `` |
are_you_aware_of_the_following_government_local_authorit_2 |
string |
Source column. | `` |
are_you_aware_of_the_following_government_local_authorit_3 |
string |
Source column. | `` |
are_you_aware_of_the_following_government_local_authorit_4 |
string |
Source column. | `` |
are_you_aware_of_the_following_government_local_authorit_5 |
string |
Source column. | `` |
are_you_aware_of_the_following_government_local_authorit_6 |
string |
Source column. | `` |
does_the_respondent_know_preventive_measures_for_covid_1_10 |
string |
Source column. | `` |
are_you_satisfied_with_governments_response_to_covid_19 |
string |
Source column. | `` |
have_you_adopted_more_frequent_handwashing_in_the_last_w |
string |
Source column. | `` |
do_you_avoid_handshakes_physical_greetings_yes_1_no_0_dr |
string |
Source column. | `` |
do_you_avoid_gatherings_of_more_than_10_people_yes_1_no |
string |
Source column. | `` |
have_you_adopted_wearing_masks_in_public_yes_1_no_0_draf |
string |
Source column. | `` |
have_you_adopted_social_distancing_self_isolation_yes_1 |
string |
Source column. | `` |
were_you_able_to_access_medicine_in_the_past_7_days_when |
string |
Source column. | `` |
were_you_able_to_access_staple_food_item_in_the_past_7_d |
string |
Source column. | `` |
were_you_able_to_access_staple_food_item_in_the_past_7_d_2 |
string |
Source column. | `` |
were_you_able_to_access_staple_food_item_in_the_past_7_d_3 |
string |
Source column. | `` |
has_the_hh_had_sufficient_water_to_drink_in_the_last_wee |
string |
Source column. | `` |
has_the_hh_had_sufficient_access_to_water_to_use_to_wash |
string |
Source column. | `` |
has_the_hh_had_sufficient_soap_to_wash_hands_with_in_the |
string |
Source column. | `` |
has_the_hh_needed_medical_treatment_since_covid_19_outbr |
string |
Source column. | `` |
has_the_hh_been_able_to_access_medical_services_in_the_p |
string |
Source column. | `` |
have_children_in_the_hh_attended_school_primary_secondar |
string |
Source column. | `` |
have_children_in_the_hh_engaged_in_any_learning_edu_serv |
string |
Source column. | `` |
has_the_hh_been_able_to_access_a_financial_institution_a |
string |
Source column. | `` |
has_the_hh_experienced_difficulties_accessing_public_tra |
string |
Source column. | `` |
did_your_household_move_after_covid_lockdown_date_e_g_ma |
string |
Source column. | `` |
on_what_date_did_your_household_move_in_ymd_format_e_g_2 |
string |
Source column. | `` |
ownership_of_current_housing_yes_1_no_2_does_your_househ |
string |
Source column. | `` |
number_of_rooms_in_the_dwelling_not_including_use_for_bu |
string |
Source column. | `` |
has_the_hh_run_out_of_food_because_of_lack_of_money_or_r |
string |
Source column. | `` |
are_there_hungry_adults_in_the_hh_who_could_not_eat_beca |
string |
Source column. | `` |
are_there_hungry_adults_in_the_hh_who_went_w_o_eating_fo |
string |
Source column. | `` |
during_the_last_30_days_was_there_a_time_when_you_or_any |
string |
Source column. | `` |
during_the_last_30_days_was_there_a_time_when_you_or_any_2 |
string |
Source column. | `` |
during_the_last_30_days_was_there_a_time_when_you_or_any_3 |
string |
Source column. | `` |
during_the_last_30_days_was_there_a_time_when_you_or_any_4 |
string |
Source column. | `` |
during_the_last_30_days_was_there_a_time_when_you_or_any_5 |
string |
Source column. | `` |
was_the_respondent_employed_at_the_time_the_survey_was_c |
string |
Source column. | `` |
was_the_respondent_working_before_the_pandemic_yes_1_no |
string |
Source column. | `` |
has_the_respondent_stopped_working_since_covid_19_1_yes |
string |
Source column. | `` |
what_is_the_main_reason_the_respondent_is_unemployed_why |
string |
Source column. | `` |
what_is_the_main_reason_the_respondent_is_unemployed_cat |
string |
Source column. | `` |
what_is_the_main_activity_of_the_business_or_organizatio |
string |
Source column. | `` |
has_the_respondent_changed_jobs_since_the_beginning_of_t |
string |
Source column. | `` |
why_did_you_change_jobs_do_not_read_options_business_gov |
string |
Source column. | `` |
what_is_the_main_activity_of_the_business_or_organizatio_2 |
string |
Source column. | `` |
what_is_the_type_of_your_current_employment_categories_1 |
string |
Source column. | `` |
n_a_is_this_in_the_last_week_were_you_able_to_work_as_us |
string |
Source column. | `` |
has_your_income_changed_sincethe_pandemic_started_income |
string |
Source column. | `` |
does_the_respondent_or_any_member_of_the_household_own_o |
string |
Source column. | `` |
do_you_or_a_member_of_your_household_own_a_business_has |
string |
Source column. | `` |
is_the_respondent_or_anyone_in_the_household_engaging_in |
string |
Source column. | `` |
since_outbreak_month_have_you_been_able_to_perform_the_n |
string |
Source column. | `` |
change_in_non_labor_income_since_the_outbreak_increased |
string |
Source column. | `` |
since_date_outbreak_has_income_from_remittances_increase |
string |
Source column. | `` |
have_you_or_anyone_in_your_household_received_any_form_o |
string |
Source column. | `` |
have_you_received_assistance_financial_or_in_kind_food_d |
string |
Source column. | `` |
did_the_household_received_any_form_of_cash_or_in_kind_t |
string |
Source column. | `` |
if_assi_other_1_if_you_received_assistance_financial_or |
string |
Source column. | `` |
have_you_or_anyone_in_your_household_tried_to_obtain_som |
string |
Source column. | `` |
if_publicasst_attempt_1_why_were_you_unable_to_obtain_pu |
string |
Source column. | `` |
have_you_or_anyone_in_your_household_reduced_your_consum |
string |
Source column. | `` |
have_you_or_anyone_in_your_household_used_money_saved_fo |
string |
Source column. | `` |
have_you_or_anyone_in_your_household_sold_assets_such_as |
string |
Source column. | `` |
how_do_you_feel_about_the_possibility_that_you_or_someon |
string |
Source column. | `` |
do_you_feel_your_household_finances_are_threatened_due_t |
string |
Source column. | `` |
additional_notes |
string |
Source column. | `` |
uno |
float64 |
Source column. | `` |
compara |
string |
Source column. | `` |
male |
float64 |
Source column. | `` |
relation |
float64 |
Source column. | `` |
age |
float64 |
Source column. | `` |
elig_age |
float64 |
Source column. | `` |
marital |
float64 |
Source column. | `` |
educat4 |
float64 |
Source column. | `` |
disabled_number |
float64 |
Source column. | `` |
hhsize |
float64 |
Source column. | `` |
children_number |
float64 |
Source column. | `` |
elderly_number |
float64 |
Source column. | `` |
urban |
float64 |
Source column. | `` |
subnatid1 |
float64 |
Source column. | `` |
access_internet |
float64 |
Source column. | `` |
access_water |
float64 |
Source column. | `` |
access_sanitation |
float64 |
Source column. | `` |
knowledge_covid |
float64 |
Source column. | `` |
knowledge_symptoms |
float64 |
Source column. | `` |
know_pr_handwashing |
float64 |
Source column. | `` |
know_pr_sanitizer |
float64 |
Source column. | `` |
know_pr_greetings |
float64 |
Source column. | `` |
know_pr_masks |
float64 |
Source column. | `` |
know_pr_gloves |
float64 |
Source column. | `` |
know_pr_travel |
float64 |
Source column. | `` |
know_pr_home |
float64 |
Source column. | `` |
know_pr_gathering |
float64 |
Source column. | `` |
know_pr_face |
float64 |
Source column. | `` |
know_go_home |
float64 |
Source column. | `` |
know_go_travel |
float64 |
Source column. | `` |
know_go_lockdown |
float64 |
Source column. | `` |
know_go_closures |
float64 |
Source column. | `` |
know_go_food |
float64 |
Source column. | `` |
know_go_knowledge |
float64 |
Source column. | `` |
know_pr_socdist |
float64 |
Source column. | `` |
pers_satisfaction |
float64 |
Source column. | `` |
behavior_handwashing |
float64 |
Source column. | `` |
behavior_greeting |
float64 |
Source column. | `` |
behavior_gathering |
float64 |
Source column. | `` |
behavior_masks |
float64 |
Source column. | `` |
behavior_distancing |
float64 |
Source column. | `` |
access_medicine |
float64 |
Source column. | `` |
acce_fs_rice |
float64 |
Source column. | `` |
acce_fs_meat |
float64 |
Source column. | `` |
acce_fs_veg |
float64 |
Source column. | `` |
access_water_drink |
float64 |
Source column. | `` |
access_water_wash |
float64 |
Source column. | `` |
access_soap |
float64 |
Source column. | `` |
acce_he_need |
float64 |
Source column. | `` |
acce_he_services |
float64 |
Source column. | `` |
acce_ed_before |
float64 |
Source column. | `` |
acce_ed_after |
float64 |
Source column. | `` |
access_financial |
float64 |
Source column. | `` |
access_transport |
float64 |
Source column. | `` |
hh_moved |
float64 |
Source column. | `` |
hh_moved_date |
float64 |
Source column. | `` |
ownhouse |
float64 |
Source column. | `` |
number_rooms |
float64 |
Source column. | `` |
acce_fsec_ranout |
float64 |
Source column. | `` |
acce_fsec_hungry |
float64 |
Source column. | `` |
acce_fsec_day |
float64 |
Source column. | `` |
acce_fsec_worry |
float64 |
Source column. | `` |
acce_fsec_unable |
float64 |
Source column. | `` |
acce_fsec_few |
float64 |
Source column. | `` |
acce_fsec_skip |
float64 |
Source column. | `` |
acce_fsec_less |
float64 |
Source column. | `` |
current_emp |
float64 |
Source column. | `` |
prepan_emp |
float64 |
Source column. | `` |
stop_working |
float64 |
Source column. | `` |
unemployed_reason |
float64 |
Source column. | `` |
prepan_emptype |
float64 |
Source column. | `` |
prepan_lsector |
float64 |
Source column. | `` |
change_jobs |
float64 |
Source column. | `` |
change_reason |
float64 |
Source column. | `` |
current_lsector |
float64 |
Source column. | `` |
current_emptype |
float64 |
Source column. | `` |
work_usual |
float64 |
Source column. | `` |
income_change |
float64 |
Source column. | `` |
ownbusiness |
float64 |
Source column. | `` |
business_revenue |
float64 |
Source column. | `` |
agribusiness |
float64 |
Source column. | `` |
agribusiness_routine |
float64 |
Source column. | `` |
change_nonlabor |
float64 |
Source column. | `` |
assi_remittances |
float64 |
Source column. | `` |
publicasst |
float64 |
Source column. | `` |
assi_other |
float64 |
Source column. | `` |
recd_transfer |
float64 |
Source column. | `` |
assi_othersource |
float64 |
Source column. | `` |
publicasst_attempt |
float64 |
Source column. | `` |
publicasst_reason |
float64 |
Source column. | `` |
cons_covid |
float64 |
Source column. | `` |
savings |
float64 |
Source column. | `` |
sold_assets |
float64 |
Source column. | `` |
concern_ill |
float64 |
Source column. | `` |
concern_finances |
float64 |
Source column. | `` |
column |
float64 |
Source column. | `` |
variable_name |
string |
Source column. | `` |
source |
string |
Source column. | `` |
module |
string |
Source column. | `` |
status |
string |
Source column. | `` |
type |
string |
Source column. | `` |
definition |
string |
Source column. | `` |
universe_of_variable_when_modules_questions_are_availabl |
string |
Source column. | `` |
observations |
string |
Source column. | `` |
d_1 |
float64 |
Source column. | `` |
demographic |
string |
Source column. | `` |
demo_male |
string |
Source column. | `` |
males_respondents |
string |
Source column. | `` |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-djibouti-covid-19-high-frequency-indicators-12d67943")
df = ds["train"].to_pandas()
print(df.head())
Filter to one country
sample_country = df[df["country_iso3"] == "DJI"]
Work with indicators
if "indicator_id" in df.columns:
print(df["indicator_id"].value_counts().head())
sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
Citation
@misc{electric_sheep_africa_africa_djibouti_covid_19_high_frequency_indicators_12d67943_2026,
title = {COVID-19 High-Frequency indicators | Africa (Djibouti official open data)},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/covid-19-high-frequency-indicators},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-djibouti-covid-19-high-frequency-indicators-12d67943}}
}
License
Released under CC BY 4.0.
Original data (c) World Bank Group. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.
About Electric Sheep
Electric Sheep Africa is part of the Electric Sheep mission: a unified,
ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
open sources, normalize the schemas, package as Parquet, and publish with
consistent dataset cards so researchers and developers can use load_dataset()
to start working in seconds.
Browse the full collection: huggingface.co/electricsheepafrica
Provenance: ingested 2026-08-16 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/0d94e0ba-2fe1-403f-a25a-9efb03b50594/resource/1f7fc336-a54e-40db-b89c-66b1a3e3cb40/download/covid19highfrequencymonitoringdashboarddatadictionary.xlsx
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