Datasets:

electricsheepafrica
/

africa-displacement-ethiopia

country string	country_code string	reported_date timestamp[ns]	1_1_a_1_date_of_current_survey_dd_mm_yyyy timestamp[ns]	m_0489_survey_round string	village_id_vid string	village_name string	m_0298_region string	region_p_code string	m_0299_zone string	zone_p_code string	m_0300_woreda string	woreda_p_code string	m_0301_kebele string	ocha_region string	ocha_region_p_code string	ocha_zone string	ocha_zone_p_code string	ocha_woreda string	ocha_woreda_p_code string	1_1_f_1_gps_longitude float64	1_1_f_2_gps_latitude float64	village_classification string	m_1473_reason_for_initial_displacement_of_majority_of_returning_idps string	region string	zone string	woreda string	kebele string	site string	m_1474_source string	m_0311_returning_idp_hhs float64	m_0312_returning_idp_individuals float64	most_reported_reason_for_initial_displacement_in_the_village string	reason_for_initial_displacement_individuals_conflict float64	length_of_displacement_prior_to_return_individuals_up_to_1_year float64	length_of_displacement_prior_to_return_individuals_1_2_year float64	length_of_displacement_prior_to_return_individuals_3_4_years float64	number_of_returning_idp_individuals_up_to_1_month float64	number_of_returning_idp_individuals_1_3_months float64	number_of_returning_idp_individuals_3_6_months float64	number_of_returning_idp_individuals_6_months_1_year float64	number_of_returning_idp_individuals_1_2_years_ago float64	m_0435_what_methodology_is_used_to_obtain_the_estimate_the_age_sex_breakdown string	2_1_h_1_number_of_males_by_age_0_4_years float64	2_1_h_2_number_of_males_by_age_5_14_years float64	2_1_h_3_number_of_males_by_age_15_17_years float64	2_1_h_4_number_of_males_by_age_18_59_years float64	2_1_h_5_number_of_males_by_age_60_years float64	2_1_i_1_number_of_female_by_age_0_4_years float64	2_1_i_2_number_of_female_by_age_5_14_years float64	2_1_i_3_number_of_female_by_age_15_17_years float64	2_1_i_4_number_of_female_by_age_18_59_years float64	2_1_i_5_number_of_female_by_age_60_years float64	2_1_b_2_total_number_of_returning_idp_male_individuals float64	2_1_b_3_total_number_of_returning_idp_female_individuals float64	2_1_f_1_number_of_returning_idps_0_4_years float64	2_1_f_2_number_of_returning_idps_5_14_years float64	2_1_f_3_number_of_returning_idps_15_17_years float64	2_1_f_4_number_of_returning_idps_18_59_years float64	2_1_f_5_number_of_returning_idps_60_years float64	total_number_of_returning_idp_individuals float64	s_1655_returned_migrant_individuals_from_abroad float64	m_0359_host_community_hh float64	m_0360_host_community_individual float64	s_1714_are_there_other_population_categories string	total_hhs float64	total_individuals float64	percentage_of_male_0_4_years float64	percentage_of_female_0_4_years float64	percentage_of_male_5_14_years float64	percentage_of_female_5_14_years float64	percentage_of_male_15_17_years float64	percentage_of_female_15_17_years float64	percentage_of_male_18_24_years float64	percentage_of_female_18_24_years float64	percentage_of_male_25_35_years float64	percentage_of_female_25_35_years float64	percentage_of_male_36_59_years float64	percentage_of_female_36_59_years float64	percentage_of_male_60_years_and_above float64	percentage_of_female_60_years_and_above float64	percentage_of_retunrning_idps_that_are_male_0_4_years float64	percentage_of_retunrning_idps_that_are_female_0_4_years float64	percentage_of_retunrning_idps_that_are_male_5_14_years float64	percentage_of_retunrning_idps_that_are_female_5_14_years float64	percentage_of_retunrning_idps_that_are_male_15_17_years float64	percentage_of_retunrning_idps_that_are_female_15_17_years float64	percentage_of_retunrning_idps_that_are_male_18_24_years float64	percentage_of_retunrning_idps_that_are_female_18_24_years float64	percentage_of_retunrning_idps_that_are_male_25_35_years float64	percentage_of_retunrning_idps_that_are_female_25_35_years float64	percentage_of_retunrning_idps_that_are_male_36_59_years float64	percentage_of_retunrning_idps_that_are_female_36_59_years float64	percentage_of_retunrning_idps_that_are_male_60_years_and_above float64	percentage_of_retunrning_idps_that_are_female_60_years_and_above float64	male_returned_migrants_from_abroad_percentage float64	female_returned_migrants_from_abroad_percentage float64	male_host_receiving_community_percentage float64	female_host_receiving_community_percentage float64	s_1361_what_is_the_main_type_of_livelihood_in_the_village string	s_1583_what_is_the_second_main_type_of_livelihood_in_the_village string	s_1140_do_the_people_in_this_village_practice_farming string	s_1585_what_percentage_of_the_population_practices_farming string	s_1586_do_returning_idps_have_access_to_land_for_cultivation_farming string	if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land string	if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_returning_idps_are_not_being_allocated_land_due_to_returnee_status string	if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_lack_of_documentation string	if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_lack_of_available_land string	if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_illegal_occupation_of_land string	if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_prefer_not_to_say string	if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_unknown string	if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_other string	m_1494_is_an_irrigation_system_available_for_farmers string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_beans string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_maize string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_sorghum string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_sesame string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_groundnuts string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_vegetables string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_rice string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_millet string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_cassava string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_teff string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_false_banana string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_wheat string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_barley string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_fruit string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_haricot_beans string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_pea_bean string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_none string	s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_other string	s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply string	s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_coffee string	s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_khat string	s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_sesame string	s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_sugar_cane string	s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_cotton string	s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_groundnut string	s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_onion string	s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_pea_bean string	s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_wheat string	s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_teff string	s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_none string	s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_other string	s_1588_if_the_main_cash_crops_grown_is_other_please_specify string	s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply string	s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply_previous_harvest string	s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply_market string	s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply_ministry_of_agriculture string	s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply_borrowed string	s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply_humanitarian_distribution string	s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply_don_t_know string	s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply_other string	s_1147_do_the_farmers_in_the_village_sell_some_of_the_crops_harvested_in_the_market string	s_1148_if_yes_which_food_and_cash_crops_are_sold string	s_1148_if_yes_which_food_and_cash_crops_are_sold_barley string	s_1148_if_yes_which_food_and_cash_crops_are_sold_chickpea string	s_1148_if_yes_which_food_and_cash_crops_are_sold_pea string	s_1148_if_yes_which_food_and_cash_crops_are_sold_buckthorn string	s_1148_if_yes_which_food_and_cash_crops_are_sold_maize string	s_1148_if_yes_which_food_and_cash_crops_are_sold_sorghum string	s_1148_if_yes_which_food_and_cash_crops_are_sold_sesame string	s_1148_if_yes_which_food_and_cash_crops_are_sold_groundnuts string	s_1148_if_yes_which_food_and_cash_crops_are_sold_vegetables string	s_1148_if_yes_which_food_and_cash_crops_are_sold_rice string	s_1148_if_yes_which_food_and_cash_crops_are_sold_millet string	s_1148_if_yes_which_food_and_cash_crops_are_sold_cassava string	s_1148_if_yes_which_food_and_cash_crops_are_sold_teff string	s_1148_if_yes_which_food_and_cash_crops_are_sold_false_banana string	s_1148_if_yes_which_food_and_cash_crops_are_sold_coffee string	s_1148_if_yes_which_food_and_cash_crops_are_sold_khat string	s_1148_if_yes_which_food_and_cash_crops_are_sold_sugar_cane string	s_1148_if_yes_which_food_and_cash_crops_are_sold_none string	s_1148_if_yes_which_food_and_cash_crops_are_sold_other string	s_1590_how_much_of_what_is_harvested_is_sold_in_the_market string	s_1591_after_the_farmers_sell_some_of_the_crops_harvested_how_long_does_the_remaining_food_last_months_max_12 float64	s_1144_what_food_types_are_available_in_the_village string	s_1144_what_food_types_are_available_in_the_village_teff string	s_1144_what_food_types_are_available_in_the_village_fruit string	s_1144_what_food_types_are_available_in_the_village_fish string	s_1144_what_food_types_are_available_in_the_village_game_wild_meat string	s_1144_what_food_types_are_available_in_the_village_vegetables string	s_1144_what_food_types_are_available_in_the_village_chicken_fowl string	s_1144_what_food_types_are_available_in_the_village_livestock_meat string	s_1144_what_food_types_are_available_in_the_village_milk string	s_1144_what_food_types_are_available_in_the_village_other_grains string	s_1144_what_food_types_are_available_in_the_village_qocho string	s_1144_what_food_types_are_available_in_the_village_don_t_know string	s_1149_what_support_is_available_for_farmers_in_the_village string	s_1149_what_support_is_available_for_farmers_in_the_village_share_cropping string	s_1149_what_support_is_available_for_farmers_in_the_village_credit_facilities string	s_1149_what_support_is_available_for_farmers_in_the_village_cooperatives string	s_1149_what_support_is_available_for_farmers_in_the_village_extension_services_inputs string	s_1149_what_support_is_available_for_farmers_in_the_village_wholesale_trade string	s_1149_what_support_is_available_for_farmers_in_the_village_none string	s_1149_what_support_is_available_for_farmers_in_the_village_don_t_know string	s_1149_what_support_is_available_for_farmers_in_the_village_other string	s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village string	s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_land string	s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_seeds string	s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_fertilizers string	s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_labor string	s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_training string	s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_tools string	s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_none string	s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_other string	s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village string	s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_crop_diseases string	s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_crop_damage_by_locusts string	s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_conflict string	s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_floods string	s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_market_accessibility string	s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_other_crop_damage_insects_livestock_wildlife_etc string	s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_drought string	s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_none string	s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_other string	s_1156_do_the_people_in_the_village_own_livestock string	s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_slaughter_house string	s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_credit_facilities string	s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_veterinary_services string	s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_cross_breeding string	s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_cooperatives string	s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_export_markets string	s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_wholesale_traders string	s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_don_t_know string	s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_none string	s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_other string	s_1592_who_is_the_main_provider_of_support_to_livestock_owners_in_the_village_ministry_of_agriculture string	s_1592_who_is_the_main_provider_of_support_to_livestock_owners_in_the_village_remittance string	s_1592_who_is_the_main_provider_of_support_to_livestock_owners_in_the_village_private_business string	s_1592_who_is_the_main_provider_of_support_to_livestock_owners_in_the_village_humanitarian_distribution string	s_1592_who_is_the_main_provider_of_support_to_livestock_owners_in_the_village_none string	s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village string	s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_grazing_land_scarcity string	s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_locusts string	s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_livestock_diseases string	s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_water_scarcity string	s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_market_facilities string	s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_conflict string	s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_climate_related_reasons string	s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_none string	s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_other string	s_1593_where_is_grazing_done string	s_1594_is_the_rangeland_sufficient_to_allow_more_livestock_to_graze string	s_1167_in_addition_to_farming_or_livestock_herding_what_other_means_of_income_do_people_in_the_village_have_select_all_that_apply string	s_1167_in_addition_to_farming_or_livestock_herding_what_other_means_of_income_do_people_in_the_village_have_select_all_that_apply_wage_employment string	s_1167_in_addition_to_farming_or_livestock_herding_what_other_means_of_income_do_people_in_the_village_have_select_all_that_apply_pension string	s_1167_in_addition_to_farming_or_livestock_herding_what_other_means_of_income_do_people_in_the_village_have_select_all_that_apply_remittances string	s_1167_in_addition_to_farming_or_livestock_herding_what_other_means_of_income_do_people_in_the_village_have_select_all_that_apply_occasional_day_labor string	s_1167_in_addition_to_farming_or_livestock_herding_what_other_means_of_income_do_people_in_the_village_have_select_all_that_apply_none string	s_1167_in_addition_to_farming_or_livestock_herding_what_other_means_of_income_do_people_in_the_village_have_select_all_that_apply_other string	s_1169_please_specify_the_season_in_which_food_is_the_most_scarce_if_applicable string	s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village string	s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village_loans string	s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village_reduced_meals string	s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village_cash_benefits string	s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village_forest_or_wild_fruits_and_vegetables string	s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village_temporary_migration 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string	s_1614_why_are_some_boys_not_attending_school_temporary_closure_due_to_covid_19 string	s_1614_why_are_some_boys_not_attending_school_they_are_attending string	s_1614_why_are_some_boys_not_attending_school_other string	s_1614_if_other_reason_for_boys_not_attending_school_please_specify string	do_school_children_have_learning_supplies_toys_balls_colouring_books_etc string	is_there_an_access_to_a_market_that_sells_learning_supplies string	availability_of_emergency_school_feeding_programmes_for_school_children string	s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2 string	s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2_mud_wall_with_thatched_roofing string	s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2_brick_wall_with_thatched_roofing string	s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2_brick_wall_with_iron_sheet_roofing string	s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2_buul_tukul_wood_frame_with_cloth_or_plastic_sheeting string	s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2_mud_wall_with_iron_sheet_roofing string	s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2_temporary_shelter_made_with_plastic_sheet_or_old_clothes string	s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2_other string	s_1130_if_other_types_of_housing_please_specify string	s_1616_what_is_the_main_issue_with_shelter_in_the_village string	s_1620_where_did_most_returning_idps_return_to string	what_of_hhs_are_living_in_overcrowded_or_congested_shelters_where_people_can_t_sleep_without_touching_another_hh_member string	s_1707_what_is_the_of_shelters_that_are_completely_destroyed_due_to_conflict float64	s_1709_what_is_the_of_shelters_that_are_partially_destroyed_due_to_conflict float64	what_of_damaged_shelters_have_been_repaired float64	s_1711_for_hhs_whose_shelters_are_completely_destroyed_where_are_they_living_now string	s_1132_where_do_the_majority_of_people_in_the_village_get_materials_for_constructing_shelter_now string	what_of_returning_idp_households_traveled_with_nfis_when_returning_to_the_village string	xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village string	xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village_emergency_shelters_kits string	xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village_kitchen_sets string	xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village_bedding_sets string	xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village_hygiene_kits string	xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village_mosquito_nets string	xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village_none string	xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village_other string	xxxx_if_shelter_is_shared_between_households_who_are_not_family_is_there_partitioning_separation_of_space_for_different_ages_genders string	s_0185_what_is_the_main_safety_concern_with_the_current_shelter string	s_1617_how_far_is_the_nearest_accessible_market_selling_non_food_items_sleeping_mats_cooking_pots_cups_plates_etc_that_returning_idps_can_safely_access_one_way_on_foot string	s_1618_what_of_returning_idp_hhs_have_physical_access_and_the_financial_means_to_purchase_household_items_like_blankets_sleeping_mats_and_kitchen_sets string	s2365_what_of_returning_idp_hhs_have_physical_access_and_the_financial_means_to_purchase_emergency_shelter_items_like_rope_and_tarpaulin string	s1825_what_of_returning_idp_hhs_have_physical_access_and_the_financial_means_to_purchase_wash_and_hygiene_kits_i_e_jerry_cans_soap_etc string	s_1619_what_nfis_that_returning_idps_can_buy_access_themselves_is_the_most_needed_in_this_village string	s_1638_is_there_any_system_currently_in_place_to_support_returning_idps_who_have_lost_personal_identification_documents_in_getting_the_documents_replaced_or_reissued string	s1833_if_yes_is_there_any_obstacle_to_accessing_this_service string	s_1639_who_is_the_primary_provider_of_these_services string	s_1645_what_is_the_main_obstacle_for_returnees_to_participate_in_voting string	s_1645_if_other_obstacle_for_returnees_to_vote_please_specify string	s_1651_which_justice_mechanism_is_the_most_prevalently_used_in_this_village string	s2373_are_these_justice_mechanisms_easily_accessible_in_this_village string	if_no_why_1 string	if_no_why_distance string	if_no_why_cost string	if_no_why_discrimination string	if_no_why_insecurity_fear string	if_no_why_language_barrier string	if_no_why_harassment string	if_no_why_lack_of_id string	if_no_why_lack_of_knowledge_of_procedures string	if_no_why_other string	s2376_what_percentage_of_women_have_access_to_id_documents string	s2377_what_percentage_of_men_have_access_to_id_documents string	s_1720_what_is_the_most_common_source_of_news_information_amongst_the_majority_of_returning_idps string	s_1720_what_is_the_most_common_source_of_news_information_amongst_the_majority_of_returning_idps_word_of_mouth_family_friends_or_colleagues string	s_1720_what_is_the_most_common_source_of_news_information_amongst_the_majority_of_returning_idps_television string	s_1720_what_is_the_most_common_source_of_news_information_amongst_the_majority_of_returning_idps_newspapers_or_magazines string	s_1720_what_is_the_most_common_source_of_news_information_amongst_the_majority_of_returning_idps_radio string	s_1720_what_is_the_most_common_source_of_news_information_amongst_the_majority_of_returning_idps_other_internet_sources_e_g_apps_and_social_media string	s_1720_what_is_the_most_common_source_of_news_information_amongst_the_majority_of_returning_idps_other string	please_specify_which_television string	please_specify_which_radio string	comments string	esa_source string	esa_processed string
Ethiopia	ETH	2023-06-30T00:00:00	2023-06-26T00:00:00	Round 16	V-TG076	Betesemaet	Tigray	ET01	Central	ET0102	Adiet	ET010215	Betesemaet	Tigray	ET01	Central	ET0102	Adet	ET010207	13.978262	38.623268	Rural	Conflict	Tigray	Central	Tahtay Maychew	Adi gara	Adi Hadgu	null	181	923	Conflict	923	923	0	0	273	546	104	0	0	KI estimate and representative sampling	57	115	46	210	34	124	101	14	213	9	462	461	181	216	60	423	43	923	0	278	1,311	No	459	2,234	9	5	12	8	4	7	12	5	5	3	11	14	2	3	11	5	9	5	6	5	11	8	6	4	16	11	1	2	null	null	46	54	Farming	Daily Labor	Yes	> 75%	Yes	null	null	null	null	null	null	null	null	Yes	Maize Sorghum Vegetables Beans Fruit	Yes	Yes	Yes	No	No	Yes	No	No	No	No	No	No	No	Yes	No	No	No	No	Onion Pea bean	No	No	No	No	No	No	Yes	Yes	No	No	No	No	null	Market Previous Harvest	Yes	Yes	No	No	No	No	No	Yes	Pea Maize Vegetables	No	No	Yes	No	Yes	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	25-50%	7	Teff Fruit Fish Vegetables	Yes	Yes	Yes	No	Yes	No	No	No	No	No	No	Other	No	No	No	No	No	No	No	Yes	Fertilizers Seeds Labor Training Land	Yes	Yes	Yes	Yes	Yes	No	No	No	Conflict	No	No	Yes	No	No	No	No	No	No	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	Occasional Day Labor	No	No	No	Yes	No	No	Both	Reduced meals Extended family support Food aid	No	Yes	No	No	No	Yes	Yes	No	No	No	Food shortage	Not enough jobs	Yes	Conflict	Waited for assistance	Yes	No	No	No	No	No	No	Malaria	Yes	No	No medicine Not open every day No qualified personnel No referrals	Yes	Yes	Yes	Yes	No	No	No	No	No	No	Damaged and needs minor repairs	Furniture	Females Children Elderly person Persons with disabilities	Yes	Yes	Yes	Yes	No	No	No	No	null	null	null	null	null	null	null	null	null	null	<10%	Yes	Health Department	Yes	Government	Yes	1	1	Other	Hand pamp	21-30 minute walk	16-30 min	About half (around 50%)	About half (around 50%)	"Not enough water for people Not enough containers to store the water Insufficient number of water p(...TRUNCATED)	No	No	No	Yes	No	Yes	No	No	Yes	Yes	No	No	No	No	No	Yes	The community	None, open defecation	Lack of latrines	Yes	No	No	No	No	No	No	No	No	No	No	No	Using disinfection products	No	Yes	No	No	No	No	No	Yes	null	Government with List	Primary schools (age 7-14)	No	Yes	No	No	null	null	null	null	Yes	83	Yes	126	null	null	null	null	No	Lack of teachers Lack of scholastic material Lack of school feeding	No	No	No	Yes	No	No	No	No	No	No	Yes	Yes	No	No	null	No	Lack of School Feeding Distance Lack of space	No	No	Yes	No	Yes	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	null	Lack of School Feeding Lack of water source Poor educational standard	No	No	Yes	No	No	No	No	Yes	No	No	No	No	No	No	No	No	Yes	No	No	No	null	No	No	No	Mud wall with iron sheet roofing Other	No	No	No	No	Yes	No	Yes	Masonary wall with corrugated galvanized iron	The size of shelters is insufficient (overcrowding, no privacy)	Returned to Own Shelter (which was owned by the retuning IDPs before displacement)	25-50%	0	0	0	null	Free from surrounding forest/area	< 25%	Mosquito nets	No	No	No	No	Yes	No	No	No	Lack of privacy	On-site (> 20 minutes)	< 25%	< 25%	< 25%	null	Yes	No	Government agencies	null	null	Kebele Administration	Yes	null	null	null	null	null	null	null	null	null	null	51-75%	> 75%	Word of mouth (family, friends or colleagues)	Yes	No	No	No	No	No	null	null	We need aid of selecter seeds,fertilizer,food,NFI	HDX	2026-04-29
Ethiopia	ETH	2023-06-30T00:00:00	2023-06-10T00:00:00	Round 16	V-TG851	Hala	Tigray	ET01	South East	ET0106	Wejerat	ET010610	Bahritseba	Tigray	ET01	South Eastern	ET0106	Wajirat	ET010608	13.07824	39.63811	Urban	Conflict	Tigray	South East	Wejerat	Bahritseba	Shekabeda	null	304	1,237	Conflict	1,237	34	322	881	0	0	17	49	1,171	KI estimate and representative sampling	8	104	8	271	8	129	242	21	425	21	399	838	137	346	29	696	29	1,237	0	678	2,794	No	982	4,031	4	5	6	10	3	3	7	11	10	11	11	14	2	3	5	5	7	9	3	4	8	11	9	11	9	15	2	2	null	null	47	53	Farming	Pastoralism	Yes	> 75%	Yes	null	null	null	null	null	null	null	null	Yes	Beans Maize Teff Wheat	Yes	Yes	No	No	No	No	No	No	No	Yes	No	Yes	No	No	No	No	No	No	Wheat Onion Teff Other	No	No	No	No	No	No	Yes	No	Yes	Yes	No	Yes	Potatoes	Previous Harvest	Yes	No	No	No	No	No	No	Yes	Teff Maize Other	No	No	No	No	Yes	No	No	No	No	No	No	No	Yes	No	No	No	No	No	Yes	< 25%	5	Teff Chicken/Fowl Livestock Meat Milk Other Grains	Yes	No	No	No	No	Yes	Yes	Yes	Yes	No	No	null	No	No	No	No	No	Yes	No	No	Land Seeds Fertilizers Labor Training Tools	Yes	Yes	Yes	Yes	Yes	Yes	No	No	"Crop diseases Conflict Other crop damage (insects, livestock, wildlife, etc.) Crop damage by locust(...TRUNCATED)	Yes	Yes	Yes	No	No	Yes	No	No	No	Yes	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	Yes	Grazing land Scarcity Livestock diseases Conflict	Yes	No	Yes	No	No	Yes	No	No	No	Free range grazing in the village	No	Occasional Day Labor	No	No	No	Yes	No	No	Rainy Season	Food aid	No	No	No	No	No	No	Yes	No	No	No	Food shortage	Shortage of farmland	Yes	Conflict	Sold property Taken a loan	No	No	Yes	No	Yes	No	Yes	Acute Malnutrition	Yes	Yes	No medicine	No	Yes	No	No	No	No	No	No	No	No	Damaged and needs minor repairs	Medicine	Females Elderly person Persons with disabilities Children	Yes	Yes	Yes	Yes	No	No	No	No	null	null	null	null	null	null	null	null	null	null	26-50%	Yes	Health Department	No	null	Yes	2	2	Other	Hand pamp	31-45 minute walk	16-30 min	About half (around 50%)	About half (around 50%)	"Not enough containers to store the water Waterpoints are difficult to reach (especially for people (...TRUNCATED)	No	No	No	No	No	Yes	No	Yes	No	No	No	No	No	No	No	Yes	The community	Pit latrine without a slab or platform	"Latrines are not segregated between men and women Latrines are unclean/unhygienic Latrines are not (...TRUNCATED)	No	Yes	No	Yes	Yes	No	Yes	No	No	No	No	No	Don’t treat drinking water	No	No	No	Yes	No	No	No	Yes	null	Focus group	Primary schools (age 7-14) Secondary schools (age 15-18)	No	Yes	Yes	No	null	null	null	null	Yes	45	Yes	185	Yes	38	Yes	135	No	Poor infrastructure Lack of scholastic material Lack of teachers	No	No	No	Yes	No	Yes	No	No	No	No	Yes	No	No	No	null	Yes	Required to work Early/Forced marriage	No	No	No	No	No	Yes	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	null	Migration Required to work	No	No	No	No	No	No	No	No	Yes	No	Yes	No	No	No	No	No	No	No	No	No	null	Yes, for some	Yes	No	Mud wall with iron sheet roofing Other	No	No	No	No	Yes	No	Yes	Stone wall with iron sheet roofing	The cost of construction is too expensive	Returned to Own Shelter (which was owned by the retuning IDPs before displacement)	25-50%	6	10	0	Sharing shelter with friends and relatives	Not applicable: too expensive	0	null	No	No	No	No	No	Yes	No	No	Lack of basic services (water, electricity etc.)	On-site (> 20 minutes)	< 25%	< 25%	< 25%	null	Yes	No	Government agencies	Other	No voting	Kebele Administration	Yes	null	null	null	null	null	null	null	null	null	null	51-75%	51-75%	Radio Television	No	Yes	No	Yes	No	No	DW, Dedebit, TMH, TIGRAY	DW	null	HDX	2026-04-29
Ethiopia	ETH	2023-06-30T00:00:00	2023-06-14T00:00:00	Round 16	V-TG1104	Edaga	Tigray	ET01	Southern	ET0104	Endamehoni	ET010405	Mswati	Tigray	ET01	Southern	ET0104	Endamehoni	ET010405	12.6954	39.54388	Rural	Conflict	Tigray	Southern	Maychew	Kebelle 02	03	Local Key Informant	448	1,416	Conflict	1,416	1,201	0	215	0	0	429	842	146	KI estimate and representative sampling	79	164	62	295	74	102	130	45	408	57	674	742	181	294	107	703	131	1,416	3	112	360	No	560	1,779	4	5	5	6	4	5	5	6	7	9	17	21	4	2	5	8	12	10	4	4	3	3	4	5	14	19	5	4	67	33	46	54	Farming	Petty Trade	Yes	> 75%	Yes	null	null	null	null	null	null	null	null	Yes	Maize Vegetables Teff Wheat Barley Pea bean Fruit Sorghum	No	Yes	Yes	No	No	Yes	No	No	No	Yes	No	Yes	Yes	Yes	No	Yes	No	No	Khat Onion Pea bean	No	Yes	No	No	No	No	Yes	Yes	No	No	No	No	null	Previous Harvest	Yes	No	No	No	No	No	No	Yes	Vegetables	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	< 25%	4	Teff Vegetables	Yes	No	No	No	Yes	No	No	No	No	No	No	null	No	No	No	No	No	Yes	No	No	Land Seeds Fertilizers Labor Training Tools	Yes	Yes	Yes	Yes	Yes	Yes	No	No	Crop diseases Other crop damage (insects, livestock, wildlife, etc.) Conflict	Yes	No	Yes	No	No	Yes	No	No	No	Yes	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	Grazing land Scarcity Livestock diseases	Yes	No	Yes	No	No	No	No	No	No	Free range grazing in the village	No	Occasional Day Labor	No	No	No	Yes	No	No	Rainy Season	Reduced meals Food aid Selling of Livestock	No	Yes	No	No	No	No	Yes	No	Yes	No	Lack of non-agricultural livelihood activities	Not enough jobs	Yes	Conflict	Waited for assistance Sold livestock Sold property	Yes	No	No	Yes	Yes	No	No	Scabies	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	Females Children Elderly person Persons with disabilities	Yes	Yes	Yes	Yes	No	No	No	No	Health facility in the next village	Yes	No	No	No	No	No	No	No	No	<10%	No	null	Yes	Government	Yes	2	2	Tap water network	null	Less than 20-minute walk	<15 min	Most (around 75%)	Most (around 75%)	Not enough water for people	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	The community	Open hole	Lack of latrines	Yes	No	No	No	No	No	No	No	No	No	No	No	Don’t treat drinking water	No	No	No	Yes	No	No	No	Yes	null	Local Key Informant	Pre-primary (age 4-6)	Yes	No	No	No	Yes	60	Yes	79	null	null	null	null	null	null	null	null	No	Lack of scholastic material Lack of school feeding Expensive	No	No	Yes	No	No	No	No	No	No	No	Yes	Yes	No	No	null	Yes	Other	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	Lack of educational materials in the village	Other	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	Lack of educational materials in the village	No	No	No	Mud wall with iron sheet roofing Brick wall with iron sheet roofing	No	No	Yes	No	Yes	No	No	null	The quality of shelters is sub-standard (does not protect from weather)	Returned to Own Shelter (which was owned by the retuning IDPs before displacement)	< 25%	5	10	2	Sharing shelter with friends and relatives	Material not available	0	null	No	No	No	No	No	Yes	No	No	Lack of privacy	On site (<20 minutes)	< 25%	< 25%	< 25%	null	Yes	Yes	Government agencies	Other	No voting	Kebele Administration	No	other	No	No	No	No	No	No	No	No	Yes	25-50%	25-50%	Word of mouth (family, friends or colleagues) Radio	Yes	No	No	Yes	No	No	null	FM	They need all rehabilitation activities.	HDX	2026-04-29
Ethiopia	ETH	2023-06-30T00:00:00	2023-06-18T00:00:00	Round 16	V-TG294	Tsenkekat	Tigray	ET01	Eastern	ET0103	Ganta Afeshum	ET010304	Bahra Sehita	Tigray	ET01	Eastern	ET0103	Ganta Afeshum	ET010304	14.185794	39.458179	Rural	Conflict	Tigray	Eastern	Ganta Afeshum	Gahgot	Different sites	null	116	458	Conflict	458	0	52	406	0	0	0	38	420	KI estimate and representative sampling	20	96	20	85	9	18	81	13	114	2	230	228	38	177	33	199	11	458	7	174	752	No	290	1,217	9	12	12	15	7	7	4	6	5	7	4	8	2	2	8	13	11	16	6	8	4	6	5	7	5	7	2	2	55	45	47	53	Agro-Pastoralism	Farming	Yes	25-50%	Yes	null	null	null	null	null	null	null	null	Yes	Beans Maize Vegetables Wheat Barley veg	Yes	Yes	No	No	No	Yes	No	No	No	No	No	Yes	Yes	No	No	No	No	No	Other	No	No	No	No	No	No	No	No	No	No	No	Yes	Vegetables, Beans, chickpea	Previous Harvest Market Borrowed	Yes	Yes	No	Yes	No	No	No	Yes	Chickpea Vegetables Other	No	Yes	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	Yes	< 25%	2	Vegetables Chicken/Fowl Other Grains	No	No	No	No	Yes	Yes	No	No	Yes	No	No	Share Cropping Extension Services/inputs	Yes	No	No	Yes	No	No	No	No	Land Seeds Fertilizers Labor Training Tools Other	Yes	Yes	Yes	Yes	Yes	Yes	No	Yes	Crop diseases Floods Other crop damage (insects, livestock, wildlife, etc.)	Yes	No	No	Yes	No	Yes	No	No	No	Yes	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	Yes	Grazing land Scarcity Livestock diseases Market facilities Climate related reasons	Yes	No	Yes	No	Yes	No	Yes	No	No	Enclosed land	No	null	No	No	No	No	Yes	No	Both	Reduced meals Forest or wild fruits and vegetables Extended family support Selling of Livestock	No	Yes	No	Yes	No	Yes	No	No	Yes	No	Food shortage	Lack of non-agricultural livelihood activities	Yes	Conflict	Waited for assistance Sold livestock	Yes	No	No	Yes	No	No	No	Pneumonia	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	Females Children Elderly person Persons with disabilities Other	Yes	Yes	Yes	Yes	No	No	No	Yes	Traditional birth attendant Health facility in the next village	Yes	No	No	No	Yes	No	No	No	No	<10%	No	null	No	null	No	1	1	Motorized borehole	null	21-30 minute walk	31-60 min	About half (around 50%)	About half (around 50%)	"Not enough water for people Not enough water for animals Not enough containers to store the water I(...TRUNCATED)	No	No	No	Yes	Yes	Yes	No	No	Yes	Yes	No	No	No	No	No	No	null	None, open defecation	Lack of latrines	Yes	No	No	No	No	No	No	No	No	No	No	No	Don’t treat drinking water	No	No	No	Yes	No	No	No	Yes	null	Focus group	Primary schools (age 7-14)	No	Yes	No	No	null	null	null	null	Yes	72	Yes	108	null	null	null	null	No	Expensive Poor infrastructure Lack of scholastic material	No	No	Yes	No	No	Yes	No	No	No	No	Yes	No	No	No	null	No	Expensive Lack of School Feeding Family decision Lack of menstrual hygiene items	No	Yes	Yes	No	No	No	No	No	No	Yes	No	Yes	No	No	No	No	No	No	No	No	No	null	Expensive Lack of School Feeding Family decision	No	Yes	Yes	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	null	No	No	No	Brick wall with iron sheet roofing Other	No	No	Yes	No	No	No	Yes	Brick wall with soil roofing	Access land for construction	Returned to Own Shelter (which was owned by the retuning IDPs before displacement)	25-50%	5	10	0	Sharing shelter with friends and relatives	Material not available	0	null	No	No	No	No	No	Yes	No	No	Weather	Off site (> 20 minutes)	< 25%	< 25%	< 25%	null	Yes	Yes	Government agencies	null	null	Village court	No	Lack of knowledge of procedures	No	No	No	No	No	No	No	Yes	No	51-75%	51-75%	Word of mouth (family, friends or colleagues)	Yes	No	No	No	No	No	null	null	null	HDX	2026-04-29
Ethiopia	ETH	2023-06-30T00:00:00	2023-06-09T00:00:00	Round 16	V-TG215	Kushet 04	Tigray	ET01	Eastern	ET0103	Hawzen	ET010305	Megab	Tigray	ET01	Eastern	ET0103	Hawzen	ET010305	13.93955	39.37623	Urban	Conflict	Tigray	Mekelle	Adihaki Sub City	Hayelom	null	null	105	261	Conflict	261	0	125	136	0	0	0	0	261	KI estimate and representative sampling	6	25	17	38	4	27	34	21	74	15	90	171	33	59	38	112	19	261	0	171	568	No	276	829	7	7	8	9	3	3	9	8	10	10	11	12	1	2	6	7	8	8	4	3	9	9	8	9	11	13	2	3	null	null	48	52	Farming	Petty Trade	Yes	> 75%	Yes	null	null	null	null	null	null	null	null	No	Sesame Maize Millet Wheat Barley Fruit Pea bean	No	Yes	No	Yes	No	No	No	Yes	No	No	No	Yes	Yes	Yes	No	Yes	No	No	Wheat Teff	No	No	No	No	No	No	No	No	Yes	Yes	No	No	null	Market Borrowed	No	Yes	No	Yes	No	No	No	Yes	Teff Barley	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	< 25%	5	Milk Livestock Meat	No	No	No	No	No	No	Yes	Yes	No	No	No	null	No	No	No	No	No	Yes	No	No	Land Seeds Fertilizers Labor Training Tools	Yes	Yes	Yes	Yes	Yes	Yes	No	No	Crop diseases Crop damage by locusts Other crop damage (insects, livestock, wildlife, etc.)	Yes	Yes	No	No	No	Yes	No	No	No	Yes	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	Yes	Grazing land Scarcity Water scarcity Livestock diseases Climate related reasons	Yes	No	Yes	Yes	No	No	Yes	No	No	Free range grazing in the village	No	Pension Remittances Occasional Day Labor	No	Yes	Yes	Yes	No	No	Dry Season	"Loans Reduced meals Food aid Selling of Livestock Child labour Rent out Land/property for Money Tem(...TRUNCATED)	Yes	Yes	No	No	Yes	No	Yes	Yes	Yes	Yes	Food shortage	Lack of non-agricultural livelihood activities	Yes	Conflict	Waited for assistance Migrated Taken a loan Sold livestock Sold property	Yes	Yes	Yes	Yes	Yes	No	No	Malaria	Yes	Yes	No medicine No qualified personnel	No	Yes	No	Yes	No	No	No	No	No	No	Good Condition	Medicine	Females Children Elderly person Persons with disabilities	Yes	Yes	Yes	Yes	No	No	No	No	null	null	null	null	null	null	null	null	null	null	<10%	Yes	Humanitarian Actor	Yes	Humanitarian Actor	Yes	2	1	Tap water network	null	Less than 20-minute walk	<15 min	Everyone (around 100%)	Everyone (around 100%)	No issues accessing water	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	Yes	Government	Pit latrine without a slab or platform	Lack of latrines	Yes	No	No	No	No	No	No	No	No	No	No	No	Using disinfection products	No	Yes	No	No	No	No	No	Yes	null	Local Key Informant	Primary schools (age 7-14) Secondary schools (age 15-18)	No	Yes	Yes	No	null	null	null	null	Yes	25	Yes	81	Yes	22	Yes	61	No	Poor infrastructure Lack of school feeding No educational facility in the village	No	No	No	No	No	Yes	No	No	No	No	No	Yes	No	Yes	null	No	Early/Forced marriage Poor educational standard Lack of School Feeding	No	No	Yes	No	No	Yes	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No	No	null	Lack of School Feeding Poor educational standard Required to work	No	No	Yes	No	No	No	No	Yes	No	No	Yes	No	No	No	No	No	No	No	No	No	null	No	Yes	No	Brick wall with iron sheet roofing Mud wall with iron sheet roofing	No	No	Yes	No	Yes	No	No	null	No issues	Returned to Own Shelter (which was owned by the retuning IDPs before displacement)	< 25%	0	0	0	null	Village market	< 25%	Kitchen sets	No	Yes	No	No	No	No	No	No	Other	On site (<20 minutes)	25-50%	25-50%	51-75%	Hygiene Kits	No	null	null	null	null	Kebele Administration	Yes	null	null	null	null	null	null	null	null	null	null	51-75%	25-50%	Word of mouth (family, friends or colleagues) Television	Yes	Yes	No	No	No	No	TG TV, DW,	null	null	HDX	2026-04-29
Ethiopia	ETH	2023-06-30T00:00:00	2023-06-14T00:00:00	Round 16	V-TG228	Zone 2	Tigray	ET01	Eastern	ET0103	Bizet	ET010311	Bizet Town	Tigray	ET01	Eastern	ET0103	Bizet	ET010310	14.28332	39.29131	Urban	Conflict	Tigray	Eastern	Adigrat Town	Tabia 05	different sites	null	570	2,629	Conflict	2,629	353	256	2,020	0	0	212	481	1,936	KI estimate and representative sampling	195	348	125	556	70	139	591	28	570	7	1,294	1,335	334	939	153	1,126	77	2,629	16	244	1,099	No	814	3,744	5	6	6	8	4	5	9	10	9	11	10	12	2	3	5	6	9	10	5	7	9	10	9	11	8	9	1	1	45	55	49	51	Petty Trade	Daily Labor	No	null	No	Lack of available land	No	No	Yes	No	No	No	No	No	null	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	No	null	No	No	No	No	No	No	No	No	No	No	Yes	No	null	Don't know	No	No	No	No	No	Yes	No	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	Teff Fruit Vegetables Chicken/Fowl Livestock Meat Milk Other Grains	Yes	Yes	No	No	Yes	Yes	Yes	Yes	Yes	No	No	null	No	No	No	No	No	Yes	No	No	null	No	No	No	No	No	No	Yes	No	Conflict	No	No	Yes	No	No	No	No	No	No	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	No	No	No	No	Yes	No	Both	"Reduced meals Temporary migration Extended family support Food aid Child labour Rent out Land/prope(...TRUNCATED)	No	Yes	No	No	Yes	Yes	Yes	Yes	No	Yes	Food shortage	Not enough jobs	Yes	Conflict	Waited for assistance Migrated Sold property Sold livestock	Yes	Yes	No	Yes	Yes	No	Yes	Acute Malnutrition	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	Females Children Elderly person Persons with disabilities	Yes	Yes	Yes	Yes	No	No	No	No	Health facility in the next village Health facility in nearest town	Yes	Yes	No	No	No	No	No	No	No	<10%	Yes	Health Department	Yes	Government	Yes	1	1	Tap water network	null	Less than 20-minute walk	No wait	About half (around 50%)	About half (around 50%)	Water is too expensive Not enough containers to store the water Not enough water for people	No	No	No	Yes	No	Yes	No	No	No	No	No	Yes	No	No	No	Yes	Government	Pit latrine with a slab and platform	"Latrines are unclean/unhygienic Lack of latrines Latrines are not segregated between men and women (...TRUNCATED)	Yes	Yes	No	Yes	Yes	No	Yes	No	No	No	No	No	Using disinfection products	No	Yes	No	No	No	No	No	Yes	null	Focus group	Secondary schools (age 15-18)	No	No	Yes	No	null	null	null	null	null	null	null	null	Yes	253	Yes	109	No	Lack of teachers Poor infrastructure Lack of scholastic material	No	No	No	Yes	No	Yes	No	No	No	No	Yes	No	No	No	null	Yes	"Expensive Poor educational standard Required to work Lack of gender segregated latrines Lack of men(...TRUNCATED)	No	Yes	Yes	No	No	No	No	Yes	Yes	No	Yes	Yes	No	No	No	No	Yes	Yes	No	No	No	null	Expensive Migration Poor educational standard Required to work	No	Yes	No	No	No	No	No	Yes	Yes	No	Yes	No	No	No	No	No	No	No	No	No	null	No	Yes	No	Brick wall with iron sheet roofing Other	No	No	Yes	No	No	No	Yes	Masonry wall with mud roofing	The cost of construction is too expensive	Returned to Own Shelter (which was owned by the retuning IDPs before displacement)	< 25%	0	9	0	null	Not applicable: too expensive	0	null	No	No	No	No	No	Yes	No	No	Lack of privacy	Off-site (< 20 minutes)	< 25%	< 25%	< 25%	null	Yes	No	Government agencies	null	null	Kebele Administration	Yes	null	null	null	null	null	null	null	null	null	null	> 75%	> 75%	Word of mouth (family, friends or colleagues) Radio	Yes	No	No	Yes	No	No	null	Dimtsi Weyane radio	null	HDX	2026-04-29
Ethiopia	ETH	2023-06-30T00:00:00	2023-06-19T00:00:00	Round 16	V-TG556	Adkimro	Tigray	ET01	North Western	ET0101	Tahtay Koraro	ET010104	May Adrasha	Tigray	ET01	North Western	ET0101	Tahtay Koraro	ET010104	14.119329	38.31765	Rural	Conflict	Tigray	North Western	Tahtay Koraro	Hirmi	Different Sites	null	81	315	Conflict	315	308	0	7	0	0	0	315	0	KI estimate and representative sampling	7	28	6	81	13	42	9	13	94	22	135	180	49	37	19	175	35	315	0	14	54	Yes	104	423	5	4	4	6	5	4	9	10	12	11	12	12	3	3	5	5	4	6	4	5	10	11	11	12	10	11	3	3	null	null	51	49	Farming	Petty Trade	Yes	> 75%	Yes	null	null	null	null	null	null	null	null	Yes	Beans Maize Sorghum Teff	Yes	Yes	Yes	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	null	No	No	No	No	No	No	No	No	No	No	Yes	No	null	Market	No	Yes	No	No	No	No	No	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	Teff	Yes	No	No	No	No	No	No	No	No	No	No	null	No	No	No	No	No	Yes	No	No	Land Seeds Fertilizers Labor Tools Training	Yes	Yes	Yes	Yes	Yes	Yes	No	No	Conflict	No	No	Yes	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	Yes	Conflict Livestock diseases Water scarcity	No	No	Yes	Yes	No	Yes	No	No	No	Free range grazing in the village	Yes	Occasional Day Labor	No	No	No	Yes	No	No	Both	Food aid Extended family support Reduced meals Selling of Livestock	No	Yes	No	No	No	Yes	Yes	No	Yes	No	Food shortage	Lack of non-agricultural livelihood activities	Yes	Conflict	Waited for assistance Sold livestock Sold property	Yes	No	No	Yes	Yes	No	No	Malaria	Yes	Yes	No medicine	No	Yes	No	No	No	No	No	No	No	No	Damaged and needs minor repairs	Medicine	Females Children Elderly person Persons with disabilities Minority groups	Yes	Yes	Yes	Yes	Yes	No	No	No	null	null	null	null	null	null	null	null	null	null	<10%	No	null	Yes	Humanitarian Actor	Yes	1	1	Other	Hand pamp	31-45 minute walk	>60 min	A few (around 25%)	Most (around 75%)	"Water points are not functioning or closed Insufficient number of water points Not enough water for(...TRUNCATED)	No	No	No	Yes	No	Yes	No	No	Yes	Yes	No	No	No	No	No	No	null	None, open defecation	Lack of latrines	Yes	No	No	No	No	No	No	No	No	No	No	No	Don’t treat drinking water	No	No	No	Yes	No	No	No	Yes	null	Focus group	Primary schools (age 7-14)	No	Yes	No	No	null	null	null	null	Yes	56	No	null	null	null	null	null	No	Poor infrastructure Lack of scholastic material Lack of school feeding	No	No	No	No	No	Yes	No	No	No	No	Yes	Yes	No	No	null	Yes	Other	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	Lack of educational materials in the village	Other	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	Lack of educational materials in the village	No	No	No	Brick wall with iron sheet roofing Mud wall with iron sheet roofing	No	No	Yes	No	Yes	No	No	null	The quality of shelters is sub-standard (does not protect from weather)	Returned to Own Shelter (which was owned by the retuning IDPs before displacement)	25-50%	0	12	0	null	Not applicable: too expensive	0	null	No	No	No	No	No	Yes	No	No	Lack of privacy	Off site (> 20 minutes)	< 25%	< 25%	< 25%	null	Yes	No	Government agencies	null	null	None available	No	other	No	No	No	No	No	No	No	No	Yes	51-75%	51-75%	Word of mouth (family, friends or colleagues)	Yes	No	No	No	No	No	null	null	null	HDX	2026-04-29
Ethiopia	ETH	2023-06-30T00:00:00	2023-06-08T00:00:00	Round 16	V-TG560	Geter Wukromaray	Tigray	ET01	Central	ET0102	Tahtay Maychew	ET010206	May siye	Tigray	ET01	Central	ET0102	Tahtay Mayechew	ET010206	14.11445	38.600508	Rural	Conflict	Tigray	Central	Tahtay Maychew	Debreshewit	Etan Zeriy	null	389	1,227	Conflict	1,227	1,211	16	0	0	0	0	1,227	0	KI estimate and representative sampling	35	141	71	187	136	96	121	136	253	51	570	657	131	262	207	440	187	1,227	0	41	130	No	430	1,357	6	7	8	8	6	7	4	5	9	10	9	12	4	5	5	4	9	11	6	7	8	9	10	13	5	6	3	4	null	null	48	52	Farming	Daily Labor	Yes	25-50%	Yes	null	null	null	null	null	null	null	null	No	Beans Teff Wheat Sorghum	Yes	No	Yes	No	No	No	No	No	No	Yes	No	Yes	No	No	No	No	No	No	null	No	No	No	No	No	No	No	No	No	No	Yes	No	null	Previous Harvest Borrowed	Yes	No	No	Yes	No	No	No	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	Teff Vegetables	Yes	No	No	No	Yes	No	No	No	No	No	No	null	No	No	No	No	No	Yes	No	No	Fertilizers Seeds Tools	No	Yes	Yes	No	No	Yes	No	No	Crop diseases Conflict	Yes	No	Yes	No	No	No	No	No	No	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	No	No	No	No	Yes	No	Rainy Season	Reduced meals Extended family support	No	Yes	No	No	No	Yes	No	No	No	No	Food shortage	Other	Yes	Conflict	Waited for assistance	Yes	No	No	No	No	No	No	Pneumonia	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	Females Children Persons with disabilities Elderly person	Yes	Yes	Yes	Yes	No	No	No	No	Health facility in the next village	Yes	No	No	No	No	No	No	No	No	<10%	Yes	Health Department	Yes	Government	Yes	2	1	River	null	31-45 minute walk	16-30 min	About half (around 50%)	About half (around 50%)	Waterpoints are too far Not enough containers to store the water	Yes	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	Yes	The community	None, open defecation	Latrines are not private (no locks/door/walls/lighting etc.	No	No	No	No	No	No	Yes	No	No	No	No	No	Don’t treat drinking water	No	No	No	Yes	No	No	No	No	Never existed	Focus group	null	No	No	No	Yes	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	<1 km	null	Lack of School Feeding Poor educational standard	No	No	Yes	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No	No	null	Lack of School Feeding Poor educational standard	No	No	Yes	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No	null	No	No	No	Brick wall with iron sheet roofing Buul/Tukul (wood frame with cloth or plastic sheeting)	No	No	Yes	Yes	No	No	No	null	The cost of construction is too expensive	Returned to Own Shelter (which was owned by the retuning IDPs before displacement)	< 25%	1	1	0	Sharing shelter with friends and relatives	Not applicable: too expensive	0	Hygiene kits	No	No	No	Yes	No	No	No	No	Lack of basic services (water, electricity etc.)	Off site (> 20 minutes)	< 25%	< 25%	< 25%	Hygiene Kits	Yes	Yes	Government agencies	null	null	Traditional committees	Yes	null	null	null	null	null	null	null	null	null	null	25-50%	51-75%	Word of mouth (family, friends or colleagues)	Yes	No	No	No	No	No	null	null	null	HDX	2026-04-29
Ethiopia	ETH	2023-06-30T00:00:00	2023-06-06T00:00:00	Round 16	V-TG930	Laelay Zagr	Tigray	ET01	North Western	ET0101	Maekel Adiyabo	ET010119	Dogaele	Tigray	ET01	North Western	ET0101	Maekel Adyabo	ET010112	14.430368	38.067754	Rural	Conflict	Tigray	North Western	Zana	Harya	Differnt Sites	Focus Group	415	1,714	Conflict	1,714	1,714	0	0	0	246	982	487	0	KI estimate and representative sampling	90	85	43	447	117	149	160	112	484	27	782	932	239	245	155	931	144	1,714	0	9	44	No	424	1,758	5	7	7	8	6	8	9	10	6	8	9	10	3	4	6	7	8	9	5	6	9	11	7	9	7	9	3	4	null	null	48	52	Farming	Daily Labor	Yes	25-50%	Yes	null	null	null	null	null	null	null	null	Yes	Maize Sorghum Millet Vegetables	No	Yes	Yes	No	No	Yes	No	Yes	No	No	No	No	No	No	No	No	No	No	Onion Coffee Teff	Yes	No	No	No	No	No	Yes	No	No	Yes	No	No	null	Don't know	No	No	No	No	No	Yes	No	Yes	Millet Teff Sorghum Maize	No	No	No	No	Yes	Yes	No	No	No	No	Yes	No	Yes	No	No	No	No	No	No	< 25%	3	Teff Fruit Vegetables Milk	Yes	Yes	No	No	Yes	No	No	Yes	No	No	No	null	No	No	No	No	No	Yes	No	No	Land Seeds Fertilizers Labor Training Tools	Yes	Yes	Yes	Yes	Yes	Yes	No	No	Conflict	No	No	Yes	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	Yes	Grazing land Scarcity Conflict	Yes	No	No	No	No	Yes	No	No	No	Free range grazing in the village	Yes	Occasional Day Labor	No	No	No	Yes	No	No	Both	"Temporary migration Food aid Extended family support Child labour Forest or wild fruits and vegetab(...TRUNCATED)	No	No	No	Yes	Yes	Yes	Yes	Yes	No	No	Food shortage	Not enough jobs	Yes	Conflict	Waited for assistance	Yes	No	No	No	No	No	No	Malaria	Yes	Yes	Not open every day No medicine No referrals	Yes	Yes	Yes	No	No	No	No	No	No	No	Damaged and need major repairs	Medicine	Females Children Elderly person Persons with disabilities Minority groups	Yes	Yes	Yes	Yes	Yes	No	No	No	null	null	null	null	null	null	null	null	null	null	<10%	No	null	No	null	No	2	1	River	null	31-45 minute walk	31-60 min	A few (around 25%)	A few (around 25%)	"Fetching water is a dangerous activity Not enough water for people Waterpoints are difficult to rea(...TRUNCATED)	No	Yes	No	Yes	Yes	No	No	Yes	No	Yes	No	No	No	No	No	No	The community	Open hole	"Latrines are unclean/unhygienic Latrines are not segregated between men and women Latrines are diff(...TRUNCATED)	No	Yes	No	Yes	Yes	No	Yes	Yes	Yes	No	No	No	Using disinfection products	No	Yes	No	No	No	No	No	No	Closed due to conflict/drought/other shocks	Focus group	null	No	No	No	Yes	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	Unknown	null	Other	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	No Educational services available at the village	Other	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	No Educational services available at the village	No	No	No	Mud wall with thatched roofing Mud wall with iron sheet roofing	Yes	No	No	No	Yes	No	No	null	The cost of construction is too expensive	Returned to Own Shelter (which was owned by the retuning IDPs before displacement)	< 25%	25	0	0	Sharing shelter with friends and relatives	Village market	0	Emergency shelters kits Kitchen sets	Yes	Yes	No	No	No	No	No	No	Lack of privacy	Off site (> 20 minutes)	< 25%	< 25%	< 25%	Kitchen Sets	Yes	Yes	Government agencies	null	null	Kebele Administration	Yes	null	null	null	null	null	null	null	null	null	null	25-50%	25-50%	Word of mouth (family, friends or colleagues) Radio	Yes	No	No	Yes	No	No	null	DW	null	HDX	2026-04-29
Ethiopia	ETH	2023-06-30T00:00:00	2023-06-20T00:00:00	Round 16	V-TG464	Geter	Tigray	ET01	Southern	ET0104	Neksege	ET010418	Nikah	Tigray	ET01	Southern	ET0104	Neqsege	ET010403	12.76295	39.33674	Rural	Conflict	Tigray	Southern	Neksege	Imbega	Different sites	null	72	308	Conflict	308	8	0	300	0	0	0	0	308	KI estimate and representative sampling	21	49	11	65	12	23	32	7	81	7	158	150	44	81	18	146	19	308	0	562	1,635	No	634	1,943	5	7	13	11	3	3	4	5	6	9	13	16	2	3	6	8	15	12	3	2	4	6	5	8	11	15	2	3	null	null	46	54	Farming	Daily Labor	Yes	> 75%	Yes	null	null	null	null	null	null	null	null	Yes	Maize Beans Sorghum Vegetables Teff Wheat Barley Pea bean	Yes	Yes	Yes	No	No	Yes	No	No	No	Yes	No	Yes	Yes	No	No	Yes	No	No	Onion	No	No	No	No	No	No	Yes	No	No	No	No	No	null	Previous Harvest	Yes	No	No	No	No	No	No	Yes	Vegetables	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	< 25%	4	Teff Vegetables	Yes	No	No	No	Yes	No	No	No	No	No	No	Share Cropping	Yes	No	No	No	No	No	No	No	Seeds Land Fertilizers Labor Training Tools	Yes	Yes	Yes	Yes	Yes	Yes	No	No	Conflict Crop diseases Other crop damage (insects, livestock, wildlife, etc.)	Yes	No	Yes	No	No	Yes	No	No	No	Yes	No	No	Yes	No	No	No	No	No	No	No	No	No	No	Yes	No	Livestock diseases Grazing land Scarcity Conflict	Yes	No	Yes	No	No	Yes	No	No	No	Free range grazing in the village	No	Occasional Day Labor Wage employment	Yes	No	No	Yes	No	No	Rainy Season	Reduced meals Selling of Livestock Child labour	No	Yes	No	No	No	No	No	Yes	Yes	No	Lack of non-agricultural livelihood activities	Not enough jobs	Yes	Conflict	Waited for assistance Sold livestock	Yes	No	No	Yes	No	No	Yes	Other	Yes	Yes	No medicine	No	Yes	No	No	No	No	No	No	No	No	Damaged and need major repairs	Medicine	Females Children Elderly person Persons with disabilities	Yes	Yes	Yes	Yes	No	No	No	No	null	null	null	null	null	null	null	null	null	null	<10%	Yes	Humanitarian Actor	Yes	Humanitarian Actor	Yes	2	2	Other	Hand pamp	31-45 minute walk	31-60 min	About half (around 50%)	About half (around 50%)	Not enough water for people	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	The community	Open hole	"Lack of latrines Latrines are not segregated between men and women Latrines are difficult to reach (...TRUNCATED)	Yes	No	No	Yes	Yes	No	No	No	No	No	No	No	Don’t treat drinking water	No	No	No	Yes	No	No	No	Yes	null	Local Key Informant	Primary schools (age 7-14)	No	Yes	No	No	null	null	null	null	Yes	50	Yes	120	null	null	null	null	No	Expensive Lack of scholastic material Lack of school feeding	No	No	Yes	No	No	No	No	No	No	No	Yes	Yes	No	No	null	Yes	Other	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	Lack of educational materials in the village	Other	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	Lack of educational materials in the village	No	No	No	Mud wall with thatched roofing Mud wall with iron sheet roofing	Yes	No	No	No	Yes	No	No	null	The quality of shelters is sub-standard (does not protect from weather)	Returned to Own Shelter (which was owned by the retuning IDPs before displacement)	51-75%	5	10	0	Sharing shelter with friends and relatives	Free from surrounding forest/area	0	null	No	No	No	No	No	Yes	No	No	Lack of privacy	Off site (> 20 minutes)	< 25%	< 25%	< 25%	null	Yes	Yes	Government agencies	Other	No voting	Traditional committees	No	other	No	No	No	No	No	No	No	No	Yes	> 75%	> 75%	Word of mouth (family, friends or colleagues) Radio	Yes	No	No	Yes	No	No	null	Fm	null	HDX	2026-04-29

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Ethiopia Displacement - [IDPs] - Village Assessment Survey - Tigray - [IOM DTM]

Publisher: International Organization for Migration (IOM) · Source: HDX · License: hdx-other · Updated: 2025-05-05

Abstract

Ethiopia village assessment survey (VAS) is a sub-component of mobility tracking. It collects data on returning IDPs, IDPs, returned migrants and host community members. VAS evaluates the absorption capacity of villages to receive returning IDPs with a focus on accessibility of services, livelihoods and reintegration.

Each row in this dataset represents facility or site records. Temporal coverage is indicated by the reported_date, 1_1_a_1_date_of_current_survey_dd_mm_yyyy column(s). Geographic scope: ETH.

Curated into ML-ready Parquet format by Electric Sheep Africa.

Dataset Characteristics


Domain	Food security and nutrition
Unit of observation	Facility or site records
Rows (total)	964
Columns	523 (87 numeric, 434 categorical, 2 datetime)
Train split	771 rows
Test split	192 rows
Geographic scope	ETH
Publisher	International Organization for Migration (IOM)
HDX last updated	2025-05-05

Variables

Geographic — country (Ethiopia, #country+name), country_code (ETH, #country+code), 1_1_a_1_date_of_current_survey_dd_mm_yyyy, m_0489_survey_round (Round 16), m_0298_region (Tigray, #adm1+name) and 389 others.

Temporal — reported_date, number_of_returning_idp_individuals_up_to_1_month (range 0.0–1278.0), number_of_returning_idp_individuals_1_3_months (range 0.0–4513.0), number_of_returning_idp_individuals_3_6_months (range 0.0–5194.0), s_1177_has_an_immunization_campaign_been_conducted_in_the_last_3_months and 1 others.

Demographic — village_id_vid (V-TG1022, V-TG1097, V-TG228), village_name (Adi, Ketena 2, May), village_classification, m_0311_returning_idp_hhs (range 21.0–2041.0), m_0312_returning_idp_individuals (range 41.0–10205.0) and 64 others.

Outcome / Measurement — s_1174_what_have_people_done_to_cope_with_the_negative_impacts_of_the_shocks_migrated, what_proportion_of_returning_idps_have_enough_water_for_drinking, what_proportion_of_returning_idps_have_enough_water_for_cooking_bathing_and_washing, s_1663_number_of_returning_idp_attending, s_1669_number_of_returning_idp_attending and 1 others.

Identifier / Metadata — m_1474_source, s_1586_do_returning_idps_have_access_to_land_for_cultivation_farming, if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land, if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_returning_idps_are_not_being_allocated_land_due_to_returnee_status, if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_lack_of_documentation and 11 others.

Other — m_0301_kebele, kebele, site, s_1590_how_much_of_what_is_harvested_is_sold_in_the_market, s_1593_where_is_grazing_done and 27 others.

Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-displacement-ethiopia")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

Schema

Column	Type	Null %	Range / Sample Values
`country`	object	0.0%	Ethiopia, #country+name
`country_code`	object	0.0%	ETH, #country+code
`reported_date`	datetime64[ns]	0.1%
`1_1_a_1_date_of_current_survey_dd_mm_yyyy`	datetime64[ns]	0.1%
`m_0489_survey_round`	object	0.1%	Round 16
`village_id_vid`	object	0.1%	V-TG1022, V-TG1097, V-TG228
`village_name`	object	0.1%	Adi, Ketena 2, May
`m_0298_region`	object	0.0%	Tigray, #adm1+name
`region_p_code`	object	0.0%	ET01, #adm1+code
`m_0299_zone`	object	0.0%	Eastern, Central, South East
`zone_p_code`	object	0.0%	ET0103, ET0102, ET0106
`m_0300_woreda`	object	0.1%	Enderta, Sewha Saesi'e, Hawzen
`woreda_p_code`	object	0.1%
`m_0301_kebele`	object	0.1%
`ocha_region`	object	0.1%
`ocha_region_p_code`	object	0.1%
`ocha_zone`	object	0.1%
`ocha_zone_p_code`	object	0.1%
`ocha_woreda`	object	0.1%
`ocha_woreda_p_code`	object	0.1%
`1_1_f_1_gps_longitude`	float64	0.1%	12.6166 – 14.5299 (mean 13.7921)
`1_1_f_2_gps_latitude`	float64	0.1%	37.7245 – 39.8626 (mean 39.0989)
`village_classification`	object	0.1%
`m_1473_reason_for_initial_displacement_of_majority_of_returning_idps`	object	0.1%
`region`	object	0.1%
`zone`	object	0.1%
`woreda`	object	0.1%
`kebele`	object	0.1%
`site`	object	6.1%
`m_1474_source`	object	73.9%
`m_0311_returning_idp_hhs`	float64	0.1%	21.0 – 2041.0 (mean 307.6106)
`m_0312_returning_idp_individuals`	float64	0.1%	41.0 – 10205.0 (mean 1304.5659)
`most_reported_reason_for_initial_displacement_in_the_village`	object	0.1%
`reason_for_initial_displacement_individuals_conflict`	float64	0.1%	41.0 – 10205.0 (mean 1304.5535)
`reason_for_initial_displacement_individuals_drought`	float64	0.1%	0.0 – 0.0 (mean 0.0)
`reason_for_initial_displacement_individuals_other_climate_induced`	float64	0.1%	0.0 – 12.0 (mean 0.0125)
`length_of_displacement_prior_to_return_individuals_up_to_1_year`	float64	0.1%	0.0 – 8140.0 (mean 596.3074)
`length_of_displacement_prior_to_return_individuals_1_2_year`	float64	0.1%	0.0 – 10040.0 (mean 223.7913)
`length_of_displacement_prior_to_return_individuals_3_4_years`	float64	0.1%	0.0 – 7987.0 (mean 402.2627)
`length_of_displacement_prior_to_return_individuals_5_or_more_years`	float64	0.1%	0.0 – 47.0 (mean 0.2368)
`number_of_returning_idp_individuals_up_to_1_month`	float64	0.1%	0.0 – 1278.0 (mean 18.1412)
`number_of_returning_idp_individuals_1_3_months`	float64	0.1%	0.0 – 4513.0 (mean 83.7871)
`number_of_returning_idp_individuals_3_6_months`	float64	0.1%	0.0 – 5194.0 (mean 195.4299)
`number_of_returning_idp_individuals_6_months_1_year`	float64	0.1%	0.0 – 7458.0 (mean 463.9003)
`number_of_returning_idp_individuals_1_2_years_ago`	float64	0.1%	0.0 – 10040.0 (mean 543.3074)
`m_0435_what_methodology_is_used_to_obtain_the_estimate_the_age_sex_breakdown`	object	0.1%
`2_1_h_1_number_of_males_by_age_0_4_years`	float64	0.1%	0.0 – 602.0 (mean 72.6106)
`2_1_h_2_number_of_males_by_age_5_14_years`	float64	0.1%	0.0 – 1881.0 (mean 129.4559)
`2_1_h_3_number_of_males_by_age_15_17_years`	float64	0.1%	0.0 – 1085.0 (mean 72.2274)
`2_1_h_4_number_of_males_by_age_18_59_years`	float64	0.1%	4.0 – 2813.0 (mean 286.0914)
`2_1_h_5_number_of_males_by_age_60_years`	float64	0.1%
`2_1_i_1_number_of_female_by_age_0_4_years`	float64	0.1%
`2_1_i_2_number_of_female_by_age_5_14_years`	float64	0.1%
`2_1_i_3_number_of_female_by_age_15_17_years`	float64	0.1%
`2_1_i_4_number_of_female_by_age_18_59_years`	float64	0.1%
`2_1_i_5_number_of_female_by_age_60_years`	float64	0.1%
`2_1_b_2_total_number_of_returning_idp_male_individuals`	float64	0.1%
`2_1_b_3_total_number_of_returning_idp_female_individuals`	float64	0.1%
`2_1_f_1_number_of_returning_idps_0_4_years`	float64	0.1%
`2_1_f_2_number_of_returning_idps_5_14_years`	float64	0.1%
`2_1_f_3_number_of_returning_idps_15_17_years`	float64	0.1%
`2_1_f_4_number_of_returning_idps_18_59_years`	float64	0.1%
`2_1_f_5_number_of_returning_idps_60_years`	float64	0.1%
`total_number_of_returning_idp_individuals`	float64	0.1%
`s_1655_returned_migrant_individuals_from_abroad`	float64	0.1%
`m_0359_host_community_hh`	float64	0.1%
`m_0360_host_community_individual`	float64	0.1%
`s_1714_are_there_other_population_categories`	object	0.1%
`total_hhs`	float64	0.1%
`total_individuals`	float64	0.1%
`percentage_of_male_0_4_years`	float64	0.1%
`percentage_of_female_0_4_years`	float64	0.1%
`percentage_of_male_5_14_years`	float64	0.1%
`percentage_of_female_5_14_years`	float64	0.1%
`percentage_of_male_15_17_years`	float64	0.1%
`percentage_of_female_15_17_years`	float64	0.1%
`percentage_of_male_18_24_years`	float64	0.1%
`percentage_of_female_18_24_years`	float64	0.1%
`percentage_of_male_25_35_years`	float64	0.1%
`percentage_of_female_25_35_years`	float64	0.1%
`percentage_of_male_36_59_years`	float64	0.1%
`percentage_of_female_36_59_years`	float64	0.1%
`percentage_of_male_60_years_and_above`	float64	0.1%
`percentage_of_female_60_years_and_above`	float64	0.1%
`percentage_of_retunrning_idps_that_are_male_0_4_years`	float64	0.1%
`percentage_of_retunrning_idps_that_are_female_0_4_years`	float64	0.1%
`percentage_of_retunrning_idps_that_are_male_5_14_years`	float64	0.1%
`percentage_of_retunrning_idps_that_are_female_5_14_years`	float64	0.1%
`percentage_of_retunrning_idps_that_are_male_15_17_years`	float64	0.1%
`percentage_of_retunrning_idps_that_are_female_15_17_years`	float64	0.1%
`percentage_of_retunrning_idps_that_are_male_18_24_years`	float64	0.1%
`percentage_of_retunrning_idps_that_are_female_18_24_years`	float64	0.1%
`percentage_of_retunrning_idps_that_are_male_25_35_years`	float64	0.1%
`percentage_of_retunrning_idps_that_are_female_25_35_years`	float64	0.1%
`percentage_of_retunrning_idps_that_are_male_36_59_years`	float64	0.1%
`percentage_of_retunrning_idps_that_are_female_36_59_years`	float64	0.1%
`percentage_of_retunrning_idps_that_are_male_60_years_and_above`	float64	0.1%
`percentage_of_retunrning_idps_that_are_female_60_years_and_above`	float64	0.1%
`male_returned_migrants_from_abroad_percentage`	float64	74.9%
`female_returned_migrants_from_abroad_percentage`	float64	74.9%
`male_host_receiving_community_percentage`	float64	2.0%
`female_host_receiving_community_percentage`	float64	2.0%
`s_1361_what_is_the_main_type_of_livelihood_in_the_village`	object	1.0%
`s_1583_what_is_the_second_main_type_of_livelihood_in_the_village`	object	8.6%
`s_1140_do_the_people_in_this_village_practice_farming`	object	0.1%
`s_1585_what_percentage_of_the_population_practices_farming`	object	24.8%
`s_1586_do_returning_idps_have_access_to_land_for_cultivation_farming`	object	0.1%
`if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land`	object	77.2%
`if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_returning_idps_are_not_being_allocated_land_due_to_returnee_status`	object	77.2%
`if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_lack_of_documentation`	object	77.2%
`if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_lack_of_available_land`	object	77.2%
`if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_illegal_occupation_of_land`	object	77.2%
`if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_prefer_not_to_say`	object	77.2%
`if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_unknown`	object	77.2%
`if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_other`	object	77.2%
`m_1494_is_an_irrigation_system_available_for_farmers`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply`	object	22.3%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_beans`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_maize`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_sorghum`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_sesame`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_groundnuts`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_vegetables`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_rice`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_millet`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_cassava`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_teff`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_false_banana`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_wheat`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_barley`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_fruit`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_haricot_beans`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_pea_bean`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_none`	object	0.1%
`s_1142_what_are_the_main_food_crops_grown_in_the_village_select_all_that_apply_other`	object	0.1%
`s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply`	object	40.2%
`s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_coffee`	object	0.1%
`s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_khat`	object	0.1%
`s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_sesame`	object	0.1%
`s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_sugar_cane`	object	0.1%
`s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_cotton`	object	0.1%
`s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_groundnut`	object	0.1%
`s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_onion`	object	0.1%
`s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_pea_bean`	object	0.1%
`s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_wheat`	object	0.1%
`s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_teff`	object	0.1%
`s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_none`	object	0.1%
`s_1588_what_are_the_main_cash_crops_grown_in_the_village_select_all_that_apply_other`	object	0.1%
`s_1588_if_the_main_cash_crops_grown_is_other_please_specify`	object	79.5%
`s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply`	object	0.1%
`s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply_previous_harvest`	object	0.1%
`s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply_market`	object	0.1%
`s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply_ministry_of_agriculture`	object	0.1%
`s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply_borrowed`	object	0.1%
`s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply_humanitarian_distribution`	object	0.1%
`s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply_don_t_know`	object	0.1%
`s_1589_where_do_farmers_get_their_seeds_for_food_and_cash_crops_select_all_that_apply_other`	object	0.1%
`s_1147_do_the_farmers_in_the_village_sell_some_of_the_crops_harvested_in_the_market`	object	0.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_barley`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_chickpea`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_pea`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_buckthorn`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_maize`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_sorghum`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_sesame`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_groundnuts`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_vegetables`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_rice`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_millet`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_cassava`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_teff`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_false_banana`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_coffee`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_khat`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_sugar_cane`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_none`	object	46.1%
`s_1148_if_yes_which_food_and_cash_crops_are_sold_other`	object	46.1%
`s_1590_how_much_of_what_is_harvested_is_sold_in_the_market`	object	46.1%
`s_1591_after_the_farmers_sell_some_of_the_crops_harvested_how_long_does_the_remaining_food_last_months_max_12`	float64	46.1%
`s_1144_what_food_types_are_available_in_the_village`	object	0.1%
`s_1144_what_food_types_are_available_in_the_village_teff`	object	0.1%
`s_1144_what_food_types_are_available_in_the_village_fruit`	object	0.1%
`s_1144_what_food_types_are_available_in_the_village_fish`	object	0.1%
`s_1144_what_food_types_are_available_in_the_village_game_wild_meat`	object	0.1%
`s_1144_what_food_types_are_available_in_the_village_vegetables`	object	0.1%
`s_1144_what_food_types_are_available_in_the_village_chicken_fowl`	object	0.1%
`s_1144_what_food_types_are_available_in_the_village_livestock_meat`	object	0.1%
`s_1144_what_food_types_are_available_in_the_village_milk`	object	0.1%
`s_1144_what_food_types_are_available_in_the_village_other_grains`	object	0.1%
`s_1144_what_food_types_are_available_in_the_village_qocho`	object	0.1%
`s_1144_what_food_types_are_available_in_the_village_don_t_know`	object	0.1%
`s_1149_what_support_is_available_for_farmers_in_the_village`	object	79.4%
`s_1149_what_support_is_available_for_farmers_in_the_village_share_cropping`	object	0.1%
`s_1149_what_support_is_available_for_farmers_in_the_village_credit_facilities`	object	0.1%
`s_1149_what_support_is_available_for_farmers_in_the_village_cooperatives`	object	0.1%
`s_1149_what_support_is_available_for_farmers_in_the_village_extension_services_inputs`	object	0.1%
`s_1149_what_support_is_available_for_farmers_in_the_village_wholesale_trade`	object	0.1%
`s_1149_what_support_is_available_for_farmers_in_the_village_none`	object	0.1%
`s_1149_what_support_is_available_for_farmers_in_the_village_don_t_know`	object	0.1%
`s_1149_what_support_is_available_for_farmers_in_the_village_other`	object	0.1%
`s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village`	object	14.4%
`s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_land`	object	0.1%
`s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_seeds`	object	0.1%
`s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_fertilizers`	object	0.1%
`s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_labor`	object	0.1%
`s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_training`	object	0.1%
`s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_tools`	object	0.1%
`s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_none`	object	0.1%
`s_1152_what_are_the_most_needed_inputs_for_the_production_of_food_and_cash_crops_in_the_village_other`	object	0.1%
`s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village`	object	10.9%
`s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_crop_diseases`	object	0.1%
`s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_crop_damage_by_locusts`	object	0.1%
`s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_conflict`	object	0.1%
`s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_floods`	object	0.1%
`s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_market_accessibility`	object	0.1%
`s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_other_crop_damage_insects_livestock_wildlife_etc`	object	0.1%
`s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_drought`	object	0.1%
`s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_none`	object	0.1%
`s_1155_what_are_the_main_problems_that_affect_the_production_of_food_and_cash_crops_in_the_village_other`	object	0.1%
`s_1156_do_the_people_in_the_village_own_livestock`	object	0.1%
`s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_slaughter_house`	object	30.7%
`s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_credit_facilities`	object	30.7%
`s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_veterinary_services`	object	30.7%
`s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_cross_breeding`	object	30.7%
`s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_cooperatives`	object	30.7%
`s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_export_markets`	object	30.7%
`s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_wholesale_traders`	object	30.7%
`s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_don_t_know`	object	30.7%
`s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_none`	object	30.7%
`s_1161_what_support_is_available_for_livestock_owners_in_the_village_select_all_that_apply_other`	object	30.7%
`s_1592_who_is_the_main_provider_of_support_to_livestock_owners_in_the_village_ministry_of_agriculture`	object	30.7%
`s_1592_who_is_the_main_provider_of_support_to_livestock_owners_in_the_village_remittance`	object	30.7%
`s_1592_who_is_the_main_provider_of_support_to_livestock_owners_in_the_village_private_business`	object	30.7%
`s_1592_who_is_the_main_provider_of_support_to_livestock_owners_in_the_village_humanitarian_distribution`	object	30.7%
`s_1592_who_is_the_main_provider_of_support_to_livestock_owners_in_the_village_none`	object	30.7%
`s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village`	object	31.1%
`s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_grazing_land_scarcity`	object	30.7%
`s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_locusts`	object	30.7%
`s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_livestock_diseases`	object	30.7%
`s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_water_scarcity`	object	30.7%
`s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_market_facilities`	object	30.7%
`s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_conflict`	object	30.7%
`s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_climate_related_reasons`	object	30.7%
`s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_none`	object	30.7%
`s_1162_what_are_the_main_problems_that_affect_livestock_herders_in_the_village_other`	object	30.7%
`s_1593_where_is_grazing_done`	object	30.7%
`s_1594_is_the_rangeland_sufficient_to_allow_more_livestock_to_graze`	object	30.7%
`s_1167_in_addition_to_farming_or_livestock_herding_what_other_means_of_income_do_people_in_the_village_have_select_all_that_apply`	object	28.7%
`s_1167_in_addition_to_farming_or_livestock_herding_what_other_means_of_income_do_people_in_the_village_have_select_all_that_apply_wage_employment`	object	0.1%
`s_1167_in_addition_to_farming_or_livestock_herding_what_other_means_of_income_do_people_in_the_village_have_select_all_that_apply_pension`	object	0.1%
`s_1167_in_addition_to_farming_or_livestock_herding_what_other_means_of_income_do_people_in_the_village_have_select_all_that_apply_remittances`	object	0.1%
`s_1167_in_addition_to_farming_or_livestock_herding_what_other_means_of_income_do_people_in_the_village_have_select_all_that_apply_occasional_day_labor`	object	0.1%
`s_1167_in_addition_to_farming_or_livestock_herding_what_other_means_of_income_do_people_in_the_village_have_select_all_that_apply_none`	object	0.1%
`s_1167_in_addition_to_farming_or_livestock_herding_what_other_means_of_income_do_people_in_the_village_have_select_all_that_apply_other`	object	0.1%
`s_1169_please_specify_the_season_in_which_food_is_the_most_scarce_if_applicable`	object	0.2%
`s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village`	object	0.1%
`s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village_loans`	object	0.1%
`s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village_reduced_meals`	object	0.1%
`s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village_cash_benefits`	object	0.1%
`s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village_forest_or_wild_fruits_and_vegetables`	object	0.1%
`s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village_temporary_migration`	object	0.1%
`s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village_extended_family_support`	object	0.1%
`s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village_food_aid`	object	0.1%
`s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village_child_labour`	object	0.1%
`s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village_selling_of_livestock`	object	0.1%
`s_1170_during_food_scarcity_what_are_the_most_common_coping_mechanisms_used_by_households_in_the_village_rent_out_land_property_for_money`	object	0.1%
`s_1595_what_is_the_main_issue_with_livelihoods_in_the_village`	object	0.1%
`s_1596_what_is_the_second_main_issue_with_livelihoods_in_the_village`	object	0.3%
`s_1172_has_the_village_experienced_major_livelihood_shocks_in_the_last_two_years`	object	0.1%
`s_1173_if_yes_what_is_the_main_reasons_for_these_livelihood_shocks`	object	2.7%
`s_1174_what_have_people_done_to_cope_with_the_negative_impacts_of_the_shocks`	object	2.7%
`s_1174_what_have_people_done_to_cope_with_the_negative_impacts_of_the_shocks_waited_for_assistance`	object	2.7%
`s_1174_what_have_people_done_to_cope_with_the_negative_impacts_of_the_shocks_migrated`	object	2.7%
`s_1174_what_have_people_done_to_cope_with_the_negative_impacts_of_the_shocks_taken_a_loan`	object	2.7%
`s_1174_what_have_people_done_to_cope_with_the_negative_impacts_of_the_shocks_sold_livestock`	object	2.7%
`s_1174_what_have_people_done_to_cope_with_the_negative_impacts_of_the_shocks_sold_property`	object	2.7%
`s_1174_what_have_people_done_to_cope_with_the_negative_impacts_of_the_shocks_other`	object	2.7%
`is_there_an_accessible_bank_in_or_near_the_village`	object	0.1%
`s_1314_primary_health_concern_in_the_village`	object	0.6%
`s_1182_is_there_a_health_facility_in_the_village`	object	0.1%
`s_1183_do_the_majority_of_the_people_in_the_village_attend_health_facility_when_they_are_sick`	object	56.2%
`s_1184_if_there_is_a_health_facility_what_are_the_common_problems_with_the_health_service`	object	56.2%
`s_1184_if_there_is_a_health_facility_what_are_the_common_problems_with_the_health_service_not_open_every_day`	object	56.2%
`s_1184_if_there_is_a_health_facility_what_are_the_common_problems_with_the_health_service_no_medicine`	object	56.2%
`s_1184_if_there_is_a_health_facility_what_are_the_common_problems_with_the_health_service_no_referrals`	object	56.2%
`s_1184_if_there_is_a_health_facility_what_are_the_common_problems_with_the_health_service_no_qualified_personnel`	object	56.2%
`s_1184_if_there_is_a_health_facility_what_are_the_common_problems_with_the_health_service_discrimination_against_returning_idps`	object	56.2%
`s_1184_if_there_is_a_health_facility_what_are_the_common_problems_with_the_health_service_too_expensive`	object	56.2%
`s_1184_if_there_is_a_health_facility_what_are_the_common_problems_with_the_health_service_distance`	object	56.2%
`s_1184_if_there_is_a_health_facility_what_are_the_common_problems_with_the_health_service_insecurity_fear`	object	56.2%
`s_1184_if_there_is_a_health_facility_what_are_the_common_problems_with_the_health_service_no_access_for_all`	object	56.2%
`s_1184_if_there_is_a_health_facility_what_are_the_common_problems_with_the_health_service_none`	object	56.2%
`s_1600_what_is_the_structural_status_of_the_health_facility`	object	56.2%
`s_1601_what_is_the_most_urgent_need_in_the_health_facility`	object	56.2%
`s_0096_who_faces_additional_obstacles_accessing_healthcare_services`	object	0.1%
`s_0096_who_faces_additional_obstacles_accessing_healthcare_services_females`	object	0.1%
`s_0096_who_faces_additional_obstacles_accessing_healthcare_services_children`	object	0.1%
`s_0096_who_faces_additional_obstacles_accessing_healthcare_services_elderly_person`	object	0.1%
`s_0096_who_faces_additional_obstacles_accessing_healthcare_services_persons_with_disabilities`	object	0.1%
`s_0096_who_faces_additional_obstacles_accessing_healthcare_services_minority_groups`	object	0.1%
`s_0096_who_faces_additional_obstacles_accessing_healthcare_services_no_group_in_particular`	object	0.1%
`s_0096_who_faces_additional_obstacles_accessing_healthcare_services_do_not_know_no_answer`	object	0.1%
`s_0096_who_faces_additional_obstacles_accessing_healthcare_services_other`	object	0.1%
`s_1602_if_there_is_no_health_facility_in_the_village_where_do_people_go_for_health_services_when_they_are_ill`	object	43.9%
`s_1602_if_there_is_no_health_facility_in_the_village_where_do_people_go_for_health_services_when_they_are_ill_health_facility_in_the_next_village`	object	43.9%
`s_1602_if_there_is_no_health_facility_in_the_village_where_do_people_go_for_health_services_when_they_are_ill_health_facility_in_nearest_town`	object	43.9%
`s_1602_if_there_is_no_health_facility_in_the_village_where_do_people_go_for_health_services_when_they_are_ill_herbalist`	object	43.9%
`s_1602_if_there_is_no_health_facility_in_the_village_where_do_people_go_for_health_services_when_they_are_ill_traditional_healer_in_the_village`	object	43.9%
`s_1602_if_there_is_no_health_facility_in_the_village_where_do_people_go_for_health_services_when_they_are_ill_traditional_birth_attendant`	object	43.9%
`s_1602_if_there_is_no_health_facility_in_the_village_where_do_people_go_for_health_services_when_they_are_ill_religious_leaders`	object	43.9%
`s_1602_if_there_is_no_health_facility_in_the_village_where_do_people_go_for_health_services_when_they_are_ill_elders`	object	43.9%
`s_1602_if_there_is_no_health_facility_in_the_village_where_do_people_go_for_health_services_when_they_are_ill_don_t_attend_health_facilities`	object	43.9%
`s_1602_if_there_is_no_health_facility_in_the_village_where_do_people_go_for_health_services_when_they_are_ill_other`	object	43.9%
`s1774_what_percentage_of_children_under_5_that_are_affected_by_sam_have_access_health_and_nutrition_services_free_of_charge`	object	0.1%
`s_0159_have_the_children_in_the_location_and_or_pregnant_and_lactating_women_plw_been_measured_circumference_of_arm_and_or_height_and_or_been_weighed_on_a_scale_in_the_last_3_months`	object	0.1%
`s_1604_who_provided_the_muac_screening_services_assistance`	object	19.7%
`s_1177_has_an_immunization_campaign_been_conducted_in_the_last_3_months`	object	0.1%
`s_1181_who_conducted_the_immunization_campaign_in_this_village`	object	26.2%
`are_a_majority_of_infants_under_the_age_of_1_year_old_vaccinated`	object	0.1%
`what_is_the_total_number_of_water_sources_in_this_village`	float64	0.1%
`how_many_water_sources_are_currently_functional`	float64	0.1%
`s_1061_where_do_most_people_of_this_village_collect_drinking_water`	object	0.1%
`s_1061_if_other_water_source_please_specify`	object	64.2%
`s_1124_how_long_does_it_take_to_reach_the_nearest_water_source_one_way`	object	0.1%
`s_1605_what_is_the_average_queue_time_for_water`	object	0.1%
`what_proportion_of_returning_idps_have_enough_water_for_drinking`	object	0.1%
`what_proportion_of_returning_idps_have_enough_water_for_cooking_bathing_and_washing`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water_waterpoints_are_too_far`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water_fetching_water_is_a_dangerous_activity`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water_some_groups_children_women_elderly_ethnic_minorities_etc_do_not_have_access_to_the_waterpoints`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water_not_enough_water_for_people`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water_not_enough_water_for_animals`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water_not_enough_containers_to_store_the_water`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water_no_issues_accessing_water`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water_waterpoints_are_difficult_to_reach_especially_for_people_with_disabilities`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water_insufficient_number_of_water_points`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water_water_points_are_not_functioning_or_closed`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water_water_is_not_available_at_the_market`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water_water_is_too_expensive`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water_don_t_like_taste_quality_of_water`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water_don_t_know`	object	0.1%
`if_yes_what_problems_do_returning_idps_face_in_accessing_water_other_specify`	object	0.1%
`s_1195_does_the_village_have_a_water_user_committee_washco`	object	0.1%
`s_1202_who_mainly_supports_the_village_in_maintaining_the_boreholes_taps_wells_select_one`	object	18.0%
`what_is_the_most_common_type_of_latrines_toilets_used_by_the_community`	object	0.1%
`what_problems_does_the_community_face_when_it_comes_to_latrines`	object	0.1%
`what_problems_does_the_community_face_when_it_comes_to_latrines_lack_of_latrines`	object	0.1%
`what_problems_does_the_community_face_when_it_comes_to_latrines_latrines_are_unclean_unhygienic`	object	0.1%
`what_problems_does_the_community_face_when_it_comes_to_latrines_latrines_are_too_far`	object	0.1%
`what_problems_does_the_community_face_when_it_comes_to_latrines_latrines_are_not_segregated_between_men_and_women`	object	0.1%
`what_problems_does_the_community_face_when_it_comes_to_latrines_latrines_are_difficult_to_reach_especially_for_people_with_disabilities`	object	0.1%
`what_problems_does_the_community_face_when_it_comes_to_latrines_latrines_are_not_functioning`	object	0.1%
`what_problems_does_the_community_face_when_it_comes_to_latrines_latrines_are_not_private_no_locks_door_walls_lighting_etc`	object	0.1%
`what_problems_does_the_community_face_when_it_comes_to_latrines_going_to_the_latrines_is_dangerous`	object	0.1%
`what_problems_does_the_community_face_when_it_comes_to_latrines_some_groups_children_women_elderly_ethnic_minorities_etc_do_not_have_access_to_latrines`	object	0.1%
`what_problems_does_the_community_face_when_it_comes_to_latrines_no_issues_with_latrines`	object	0.1%
`what_problems_does_the_community_face_when_it_comes_to_latrines_don_t_know`	object	0.1%
`what_problems_does_the_community_face_when_it_comes_to_latrines_others_specify`	object	0.1%
`s_1608_what_are_the_most_common_water_treatment_methods_used_select_all_that_apply`	object	0.1%
`s_1608_what_are_the_most_common_water_treatment_methods_used_select_all_that_apply_boiling`	object	0.1%
`s_1608_what_are_the_most_common_water_treatment_methods_used_select_all_that_apply_using_disinfection_products`	object	0.1%
`s_1608_what_are_the_most_common_water_treatment_methods_used_select_all_that_apply_filtration`	object	0.1%
`s_1608_what_are_the_most_common_water_treatment_methods_used_select_all_that_apply_don_t_treat_drinking_water`	object	0.1%
`s_1608_what_are_the_most_common_water_treatment_methods_used_select_all_that_apply_let_it_stand_settle_and_expose_it_to_the_sun`	object	0.1%
`s_1608_what_are_the_most_common_water_treatment_methods_used_select_all_that_apply_don_t_know`	object	0.1%
`s_1608_what_are_the_most_common_water_treatment_methods_used_select_all_that_apply_other`	object	0.1%
`s_1611_is_there_an_educational_facility_for_children_in_this_village`	object	0.1%
`s_1818_if_not_why`	object	75.8%
`s_1718_what_is_the_source_for_the_education_facility`	object	0.1%
`s_1656_educational_facilities_available`	object	24.9%
`s_1656_educational_facilities_available_pre_primary_age_4_6`	object	0.1%
`s_1656_educational_facilities_available_primary_schools_age_7_14`	object	0.1%
`s_1656_educational_facilities_available_secondary_schools_age_15_18`	object	0.1%
`s_1656_educational_facilities_available_none`	object	0.1%
`s_1659_returning_idp_attending`	object	67.2%
`s_1663_number_of_returning_idp_attending`	float64	70.1%
`s_1660_host_community_attending`	object	67.2%
`s_1664_number_of_host_community_attending`	float64	70.3%
`s_1668_returning_idp_attending`	object	28.9%
`s_1669_number_of_returning_idp_attending`	float64	30.3%
`s_1670_host_community_attending`	object	28.9%
`s_1671_number_of_host_community_attending`	float64	32.8%
`s_1676_returning_idp_attending`	object	73.9%
`s_1677_number_of_returning_idp_attending`	float64	74.5%
`s_1678_host_community_attending`	object	73.9%
`s_1679_number_of_host_community_attending`	float64	75.6%
`s_1225_are_the_children_teachers_and_parents_satisfied_with_the_standard_of_the_schools_for_children`	object	24.6%
`s_1226_if_no_what_is_the_main_reason_select_top_3`	object	30.7%
`s_1226_if_no_what_is_the_main_reason_select_top_3_distance`	object	30.7%
`s_1226_if_no_what_is_the_main_reason_select_top_3_untrained_teachers`	object	30.7%
`s_1226_if_no_what_is_the_main_reason_select_top_3_expensive`	object	30.7%
`s_1226_if_no_what_is_the_main_reason_select_top_3_lack_of_teachers`	object	30.7%
`s_1226_if_no_what_is_the_main_reason_select_top_3_language_barriers`	object	30.7%
`s_1226_if_no_what_is_the_main_reason_select_top_3_poor_infrastructure`	object	30.7%
`s_1226_if_no_what_is_the_main_reason_select_top_3_unequal_access_because_of_status`	object	30.7%
`s_1226_if_no_what_is_the_main_reason_select_top_3_lack_of_awareness_of_the_benefits_of_education`	object	30.7%
`s_1226_if_no_what_is_the_main_reason_select_top_3_unequal_access_based_on_gender`	object	30.7%
`s_1226_if_no_what_is_the_main_reason_select_top_3_permanent_closure`	object	30.7%
`s_1226_if_no_what_is_the_main_reason_select_top_3_lack_of_scholastic_material`	object	30.7%
`s_1226_if_no_what_is_the_main_reason_select_top_3_lack_of_school_feeding`	object	30.7%
`s_1226_if_no_what_is_the_main_reason_select_top_3_temporary_closure_due_to_covid_19`	object	30.7%
`s_1226_if_no_what_is_the_main_reason_select_top_3_no_educational_facility_in_the_village`	object	30.7%
`s_1232_if_the_educational_facility_for_children_is_not_in_this_village_how_far_is_the_nearest_school_from_the_village`	object	75.5%
`s_1612_are_there_almost_equal_numbers_of_boys_and_girls_in_school`	object	24.6%
`s_1613_why_are_some_girls_not_attending_school`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_language_barrier`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_expensive`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_lack_of_school_feeding`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_lack_of_awareness_of_the_benefits_of_education`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_distance`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_early_forced_marriage`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_discrimination_other_than_gender`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_poor_educational_standard`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_migration`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_family_decision`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_required_to_work`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_lack_of_menstrual_hygiene_items`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_culture_religion`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_security`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_lack_of_space`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_lack_of_documentation_to_enroll`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_lack_of_gender_segregated_latrines`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_lack_of_water_source`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_temporary_closure_due_to_covid_19`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_they_are_attending`	object	0.1%
`s_1613_why_are_some_girls_not_attending_school_other`	object	0.1%
`s_1613_if_other_reason_for_girls_not_attending_school_please_specify`	object	62.4%
`s_1614_why_are_some_boys_not_attending_school`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_language_barrier`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_expensive`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_lack_of_school_feeding`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_lack_of_awareness_of_the_benefits_of_education`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_distance`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_early_forced_marriage`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_discrimination_other_than_gender`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_poor_educational_standard`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_migration`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_family_decision`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_required_to_work`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_culture_religion`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_security`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_lack_of_space`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_lack_of_documentation_to_enroll`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_lack_of_gender_segregated_latrines`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_lack_of_water_source`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_temporary_closure_due_to_covid_19`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_they_are_attending`	object	0.1%
`s_1614_why_are_some_boys_not_attending_school_other`	object	0.1%
`s_1614_if_other_reason_for_boys_not_attending_school_please_specify`	object	63.2%
`do_school_children_have_learning_supplies_toys_balls_colouring_books_etc`	object	0.1%
`is_there_an_access_to_a_market_that_sells_learning_supplies`	object	0.1%
`availability_of_emergency_school_feeding_programmes_for_school_children`	object	0.1%
`s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2`	object	0.1%
`s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2_mud_wall_with_thatched_roofing`	object	0.1%
`s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2_brick_wall_with_thatched_roofing`	object	0.1%
`s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2_brick_wall_with_iron_sheet_roofing`	object	0.1%
`s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2_buul_tukul_wood_frame_with_cloth_or_plastic_sheeting`	object	0.1%
`s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2_mud_wall_with_iron_sheet_roofing`	object	0.1%
`s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2_temporary_shelter_made_with_plastic_sheet_or_old_clothes`	object	0.1%
`s_1130_what_are_the_two_major_types_of_housing_people_have_in_the_village_select_2_other`	object	0.1%
`s_1130_if_other_types_of_housing_please_specify`	object	49.2%
`s_1616_what_is_the_main_issue_with_shelter_in_the_village`	object	0.1%
`s_1620_where_did_most_returning_idps_return_to`	object	0.1%
`what_of_hhs_are_living_in_overcrowded_or_congested_shelters_where_people_can_t_sleep_without_touching_another_hh_member`	object	0.1%
`s_1707_what_is_the_of_shelters_that_are_completely_destroyed_due_to_conflict`	float64	0.1%
`s_1708_what_is_the_of_shelters_that_are_completely_destroyed_due_to_climate`	float64	0.1%
`s_1709_what_is_the_of_shelters_that_are_partially_destroyed_due_to_conflict`	float64	0.1%
`s_1710_what_is_the_of_shelters_that_are_partially_destroyed_due_to_climate`	float64	0.1%
`what_of_damaged_shelters_have_been_repaired`	float64	0.1%
`s_1711_for_hhs_whose_shelters_are_completely_destroyed_where_are_they_living_now`	object	56.5%
`s_1132_where_do_the_majority_of_people_in_the_village_get_materials_for_constructing_shelter_now`	object	0.1%
`what_of_returning_idp_households_received_emergency_shelter_kits_while_in_displacement`	float64	15.2%
`what_of_returning_idp_households_traveled_with_emergency_shelter_kits_when_returning_to_the_village`	object	0.1%
`what_of_returning_idp_households_received_nfis_while_in_displacement`	float64	19.3%
`what_of_returning_idp_households_traveled_with_nfis_when_returning_to_the_village`	object	0.1%
`xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village`	object	68.6%
`xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village_emergency_shelters_kits`	object	0.1%
`xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village_kitchen_sets`	object	0.1%
`xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village_bedding_sets`	object	0.1%
`xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village_hygiene_kits`	object	0.1%
`xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village_mosquito_nets`	object	0.1%
`xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village_none`	object	0.1%
`xxxx_what_nfi_did_the_majority_of_returning_idps_receive_in_this_village_other`	object	0.1%
`xxxx_if_shelter_is_shared_between_households_who_are_not_family_is_there_partitioning_separation_of_space_for_different_ages_genders`	object	0.1%
`s_0185_what_is_the_main_safety_concern_with_the_current_shelter`	object	0.1%
`s_1617_how_far_is_the_nearest_accessible_market_selling_non_food_items_sleeping_mats_cooking_pots_cups_plates_etc_that_returning_idps_can_safely_access_one_way_on_foot`	object	0.1%
`s_1618_what_of_returning_idp_hhs_have_physical_access_and_the_financial_means_to_purchase_household_items_like_blankets_sleeping_mats_and_kitchen_sets`	object	0.1%
`s2365_what_of_returning_idp_hhs_have_physical_access_and_the_financial_means_to_purchase_emergency_shelter_items_like_rope_and_tarpaulin`	object	0.1%
`s1825_what_of_returning_idp_hhs_have_physical_access_and_the_financial_means_to_purchase_wash_and_hygiene_kits_i_e_jerry_cans_soap_etc`	object	0.1%
`s_1619_what_nfis_that_returning_idps_can_buy_access_themselves_is_the_most_needed_in_this_village`	object	37.1%
`s_1638_is_there_any_system_currently_in_place_to_support_returning_idps_who_have_lost_personal_identification_documents_in_getting_the_documents_replaced_or_reissued`	object	0.1%
`s1833_if_yes_is_there_any_obstacle_to_accessing_this_service`	object	31.5%
`s_1639_who_is_the_primary_provider_of_these_services`	object	31.5%
`s_1645_what_is_the_main_obstacle_for_returnees_to_participate_in_voting`	object	75.4%
`s_1645_if_other_obstacle_for_returnees_to_vote_please_specify`	object	79.1%
`s_1651_which_justice_mechanism_is_the_most_prevalently_used_in_this_village`	object	0.1%
`s2373_are_these_justice_mechanisms_easily_accessible_in_this_village`	object	0.1%
`if_no_why_1`	object	75.0%
`if_no_why_distance`	object	75.0%
`if_no_why_cost`	object	75.0%
`if_no_why_discrimination`	object	75.0%
`if_no_why_insecurity_fear`	object	75.0%
`if_no_why_language_barrier`	object	75.0%
`if_no_why_harassment`	object	75.0%
`if_no_why_lack_of_id`	object	75.0%
`if_no_why_lack_of_knowledge_of_procedures`	object	75.0%
`if_no_why_other`	object	75.0%
`s2376_what_percentage_of_women_have_access_to_id_documents`	object	0.3%
`s2377_what_percentage_of_men_have_access_to_id_documents`	object	0.3%
`s_1720_what_is_the_most_common_source_of_news_information_amongst_the_majority_of_returning_idps`	object	0.1%
`s_1720_what_is_the_most_common_source_of_news_information_amongst_the_majority_of_returning_idps_word_of_mouth_family_friends_or_colleagues`	object	0.1%
`s_1720_what_is_the_most_common_source_of_news_information_amongst_the_majority_of_returning_idps_television`	object	0.1%
`s_1720_what_is_the_most_common_source_of_news_information_amongst_the_majority_of_returning_idps_newspapers_or_magazines`	object	0.1%
`s_1720_what_is_the_most_common_source_of_news_information_amongst_the_majority_of_returning_idps_radio`	object	0.1%
`s_1720_what_is_the_most_common_source_of_news_information_amongst_the_majority_of_returning_idps_other_internet_sources_e_g_apps_and_social_media`	object	0.1%
`s_1720_what_is_the_most_common_source_of_news_information_amongst_the_majority_of_returning_idps_other`	object	0.1%
`please_specify_which_television`	object	74.3%
`please_specify_which_radio`	object	53.5%
`comments`	object	69.4%
`esa_source`	object	0.0%
`esa_processed`	object	0.0%

Numeric Summary

Column	Min	Max	Mean	Median
`1_1_f_1_gps_longitude`	12.6166	14.5299	13.7921	13.9496
`1_1_f_2_gps_latitude`	37.7245	39.8626	39.0989	39.3367
`m_0311_returning_idp_hhs`	21.0	2041.0	307.6106	230.0
`m_0312_returning_idp_individuals`	41.0	10205.0	1304.5659	911.0
`reason_for_initial_displacement_individuals_conflict`	41.0	10205.0	1304.5535	911.0
`reason_for_initial_displacement_individuals_drought`	0.0	0.0	0.0	0.0
`reason_for_initial_displacement_individuals_other_climate_induced`	0.0	12.0	0.0125	0.0
`length_of_displacement_prior_to_return_individuals_up_to_1_year`	0.0	8140.0	596.3074	15.0
`length_of_displacement_prior_to_return_individuals_1_2_year`	0.0	10040.0	223.7913	0.0
`length_of_displacement_prior_to_return_individuals_3_4_years`	0.0	7987.0	402.2627	136.0
`length_of_displacement_prior_to_return_individuals_5_or_more_years`	0.0	47.0	0.2368	0.0
`number_of_returning_idp_individuals_up_to_1_month`	0.0	1278.0	18.1412	0.0
`number_of_returning_idp_individuals_1_3_months`	0.0	4513.0	83.7871	0.0
`number_of_returning_idp_individuals_3_6_months`	0.0	5194.0	195.4299	0.0
`number_of_returning_idp_individuals_6_months_1_year`	0.0	7458.0	463.9003	57.0

Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 66 column(s) with >80% missing values were removed: m_1501_village_alternate_name, m_1458_if_reason_for_displacement_is_other_please_specify, where_did_the_largest_group_of_returning_idps_return_from, xxxx_if_government_with_list_specify_approximate_date_list_was_last_updated, when_did_the_returning_idps_arrive_at_the_village, s_1715_please_specify_the_other_population_categories.... 9 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

Limitations

Data originates from International Organization for Migration (IOM) and has not been independently validated by ESA.
Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
The following columns have >20% missing values and should be treated with caution in modelling: m_1474_source, male_returned_migrants_from_abroad_percentage, female_returned_migrants_from_abroad_percentage, s_1585_what_percentage_of_the_population_practices_farming, if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land, if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_returning_idps_are_not_being_allocated_land_due_to_returnee_status, if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_lack_of_documentation, if_no_what_are_the_main_barriers_returning_idps_face_to_accessing_land_lack_of_available_land....
Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

Citation

@dataset{hdx_africa_displacement_ethiopia,
  title     = {Ethiopia Displacement - [IDPs] - Village Assessment Survey - Tigray - [IOM DTM]},
  author    = {International Organization for Migration (IOM)},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/ethiopia-displacement-northern-region-tigray-idps-village-assessment-survey-iom-dtm},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.

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