Datasets:

electricsheepasia
/

asia-rasp

camp_name stringlengths 3 50	governorate stringclasses 12 values	district stringclasses 22 values	coordinates_latitude float64 30.5 34.7	coordinates_longitude float64 43.5 47.9	site_ssid stringlengths 11 15 ⌀	site_active stringclasses 1 value	site_typology stringclasses 4 values	date timestamp[ns]date 2012-01-01 00:00:00 2017-02-22 00:00:00	shelter_types_unfinished_building int64 0 1.75k	shelter_types_abandoned_building int64 0 541	shelter_types_prefab int64 0 26	shelter_types_school int64 0 48	shelter_types_religious int64 0 15	shelter_types_private int64 0 70	shelter_types_others int64 0 200	hh_total_families int64 5 1.75k	hh_total_families_confirm stringclasses 1 value	background_date_first_occupied timestamp[ns]date 2014-01-06 00:00:00 2017-02-21 00:00:00	background_district_aoo stringclasses 21 values	background_males_0_4 int64 0 450	background_females_0_4 int64 0 485	background_males_5_17 int64 1 1.34k	background_females_5_17 int64 0 1.22k	background_males_18_59 int64 1 3.34k	background_females_18_59 int64 0 3.66k	background_males_60_over int64 0 287	background_females_60_over int64 0 351	background_hh_ages_total_population int64 11 10.5k	background_hh_ages_total_population_confirm stringclasses 1 value	vulnerabilities_groups_f_hoh int64 0 160	vulnerabilities_groups_child_hoh int64 0 30	vulnerabilities_groups_unaccompanied int64 0 8	vulnerabilities_groups_ppl_physical_dis int64 0 45	vulnerabilities_groups_ppl_mental_dis int64 0 32	vulnerabilities_groups_preg_or_lac int64 0 215	vulnerabilities_groups_ppl_chronic_disease int64 0 1.07k	vulnerabilities_groups_elderly_at_risk int64 0 147	vulnerabilities_groups_widow int64 0 160	social_cohesion_tension stringclasses 2 values	social_cohesion_owner stringclasses 4 values	social_cohesion_whatform float64	social_cohesion_whatarrangement stringclasses 3 values	social_cohesion_eviction stringclasses 2 values	social_cohesion_intentions stringclasses 3 values	social_cohesion_leadership stringclasses 2 values	social_cohesion_leadership_structure_who stringclasses 5 values	social_cohesion_leadership_structure_who_elder_religious_leaders stringclasses 2 values	social_cohesion_leadership_structure_who_camp_committee stringclasses 2 values	social_cohesion_leadership_structure_who_local_auth stringclasses 2 values	social_cohesion_leadership_structure_who_other stringclasses 2 values	social_cohesion_leadership_structure_who_none stringclasses 2 values	physical_environment_chemicals stringclasses 2 values	physical_environment_mines stringclasses 2 values	physical_environment_hazardous_site stringclasses 2 values	physical_environment_electric stringclasses 4 values	physical_environment_elec_concerns stringclasses 21 values	physical_environment_elec_concerns_no_electricity stringclasses 2 values	physical_environment_elec_concerns_poor_wiring stringclasses 2 values	physical_environment_elec_concerns_low_uncovered_points stringclasses 2 values	physical_environment_elec_concerns_points_near_water stringclasses 2 values	physical_environment_elec_concerns_overloaded_circuits stringclasses 2 values	physical_environment_elec_concerns_non stringclasses 2 values	physical_environment_elec_concerns_other stringclasses 2 values	physical_environment_fire_equipment_fire_extinguishers stringclasses 2 values	physical_environment_fire_equipment_fire_blankets stringclasses 2 values	physical_environment_fire_equipment_sand_buckets stringclasses 2 values	physical_environment_fire_equipment_smoke_detectors stringclasses 1 value	physical_environment_fire_equipment_none stringclasses 2 values	physical_environment_fire_equipment_other stringclasses 1 value	physical_environment_dis_access stringclasses 3 values	wash_water_access stringclasses 4 values	wash_water_qual stringclasses 2 values	wash_water_infas stringclasses 4 values	wash_water_amount stringclasses 2 values	showers_ind_hh_showers int64 0 253	showers_womenshower int64 0 70	showers_menshower int64 0 70	showers_mixedshower int64 0 200	showers_nonfunctionalshowers int64 0 10	latrines_ind_hh_latrines int64 0 262	latrines_womenlatrine int64 0 210	latrines_menlatrine int64 0 210	latrines_mixedlatrine int64 0 200	latrines_nonfunctionallatrines int64 0 10	l_s_protection_showers_lock stringclasses 2 values	l_s_protection_showers_light stringclasses 4 values	l_s_protection_latrines_lock stringclasses 2 values	l_s_protection_latrines_light stringclasses 4 values	sanitation_soap stringclasses 2 values	sanitation_functional_taps int64 0 647	sanitation_drinking stringclasses 27 values	sanitation_drinking_illegal stringclasses 2 values	sanitation_drinking_treatment_plant stringclasses 2 values	sanitation_drinking_trucking stringclasses 2 values	sanitation_drinking_broken_pipe stringclasses 2 values	sanitation_drinking_natural_source stringclasses 2 values	sanitation_drinking_public_well stringclasses 1 value	sanitation_drinking_municipality stringclasses 2 values	sanitation_drinking_purchase stringclasses 2 values	sanitation_drinking_private_well stringclasses 2 values	sanitation_drinking_borehole stringclasses 1 value	sanitation_drinking_none stringclasses 2 values	sanitation_flooding stringclasses 2 values	sanitation_open_def stringclasses 2 values	sanitation_septic_tank stringclasses 3 values	sanitation_wastefrequency stringclasses 5 values	physical_conditions_person_hazards stringclasses 4 values	physical_conditions_falling_hazards stringclasses 4 values	physical_conditions_elements stringclasses 4 values	physical_conditions_damage stringclasses 5 values	physical_conditions_overcrowding stringclasses 2 values	physical_conditions_window_damage stringclasses 4 values	physical_conditions_door_damage stringclasses 4 values	physical_conditions_roof_damage stringclasses 4 values	physical_conditions_structure_injury_risk stringclasses 4 values	nfi_shelter_cleaning_material stringclasses 2 values	nfi_shelter_winter_season stringclasses 4 values	nfi_shelter_w_nfi stringclasses 3 values	nfi_shelter_summer_season stringclasses 4 values	nfi_shelter_s_nfi stringclasses 3 values	nfi_shelter_tool_kit stringclasses 2 values	nfi_items_blankets stringclasses 4 values	nfi_items_mattress stringclasses 4 values	nfi_items_water_container stringclasses 4 values	nfi_items_oven stringclasses 4 values	nfi_items_kitchen_nfi stringclasses 4 values	nfi_items_hygiene stringclasses 4 values	nfi_items_feminine stringclasses 4 values	nfi_items_other_nfi_items stringclasses 4 values	health_health_services stringclasses 2 values	health_health_services_preg stringclasses 2 values	health_access_difficulty stringclasses 2 values	health_difficulty_type stringclasses 38 values	health_difficulty_type_healthcare_cost stringclasses 2 values	health_difficulty_type_unqualified_staff_hosp stringclasses 2 values	health_difficulty_type_unqualified_staff_phc stringclasses 2 values	health_difficulty_type_unable_purchase_meds_at_pharm stringclasses 2 values	health_difficulty_type_language_barrier stringclasses 1 value	health_difficulty_type_refused_treatment stringclasses 2 values	health_difficulty_type_no_medicine_hosp stringclasses 2 values	health_difficulty_type_no_medicine_pharm stringclasses 2 values	health_difficulty_type_no_medicine_phc stringclasses 2 values	health_difficulty_type_no_transport stringclasses 2 values	health_difficulty_type_no_offered_treatment_phc stringclasses 2 values	health_difficulty_type_no_offered_treatment_hosp stringclasses 2 values	health_difficulty_type_civ_docs_problems stringclasses 2 values	health_difficulty_type_no_referral_phc stringclasses 2 values	health_difficulty_type_phc_closed stringclasses 2 values	health_difficulty_type_distance_to_treatmentcenter stringclasses 2 values	health_difficulty_type_other stringclasses 1 value	health_pyschosocial_support stringclasses 3 values	health_pyschosocial_support_trauma_support stringclasses 2 values	health_pyschosocial_support_gbv_support stringclasses 2 values	health_ilness_type stringclasses 28 values	health_ilness_type_diarrhoea stringclasses 2 values	health_ilness_type_cholera stringclasses 2 values	health_ilness_type_typhoid stringclasses 2 values	health_ilness_type_hepatitis_a_e stringclasses 2 values	health_ilness_type_soil_transmitted_helminths stringclasses 2 values	health_ilness_type_skin_disease stringclasses 2 values	health_ilness_type_other stringclasses 2 values	health_ilness_type_do_not_know stringclasses 2 values	food_security_food_access stringclasses 2 values	food_security_food_assistance_freq stringclasses 4 values	food_security_food_assistance_type stringclasses 8 values	food_security_food_assistance_type_dry_ration stringclasses 2 values	food_security_food_assistance_type_wet_feeding stringclasses 2 values	food_security_food_assistance_type_ready_to_eat_box stringclasses 2 values	food_security_food_assistance_type_cash stringclasses 2 values	food_security_food_assistance_type_voucher stringclasses 2 values	food_security_main_concern stringclasses 18 values	food_security_main_concern_main_concern1 stringclasses 2 values	food_security_main_concern_main_concern2 stringclasses 2 values	food_security_main_concern_main_concern3 stringclasses 2 values	food_security_main_concern_main_concern4 stringclasses 1 value	food_security_main_concern_main_concern5 stringclasses 2 values	food_security_main_concern_main_concern6 stringclasses 2 values	food_security_main_concern_main_concern7 stringclasses 1 value	food_security_main_concern_main_concern8 stringclasses 2 values	food_security_main_concern_main_concern9 stringclasses 1 value	food_security_food_storage stringclasses 2 values	protection_security_incidents stringclasses 2 values	protection_security_nearby stringclasses 2 values	protection_security_menboys stringclasses 2 values	protection_security_womengirls stringclasses 2 values	protection_safety_m_b_in_shelters stringclasses 2 values	protection_safety_m_b_specific_areas_in_the_camp stringclasses 1 value	protection_safety_m_b_water_point stringclasses 2 values	protection_safety_m_b_latrines stringclasses 2 values	protection_safety_m_b_bathing stringclasses 2 values	protection_safety_m_b_market stringclasses 2 values	protection_safety_m_b_school stringclasses 1 value	protection_safety_m_b_health_centre stringclasses 1 value	protection_safety_m_b_feeding_distribution_centre stringclasses 2 values	protection_safety_m_b_none stringclasses 2 values	protection_safety_m_b_other stringclasses 2 values	protection_safety_m_b_chose_not_answer stringclasses 1 value	protection_safety_w_g_in_shelters stringclasses 2 values	protection_safety_w_g_specific_areas_in_the_camp stringclasses 1 value	protection_safety_w_g_water_point stringclasses 2 values	protection_safety_w_g_latrines stringclasses 2 values	protection_safety_w_g_bathing stringclasses 2 values	protection_safety_w_g_market stringclasses 2 values	protection_safety_w_g_school stringclasses 1 value	protection_safety_w_g_health_centre stringclasses 2 values	protection_safety_w_g_feeding_distribution_centre stringclasses 2 values	protection_safety_w_g_none stringclasses 2 values	protection_safety_w_g_other stringclasses 2 values	protection_safety_w_g_chose_not_answer stringclasses 1 value	protection_reg_modm stringclasses 4 values	protection_civil_documents stringclasses 2 values	livelihoods_income stringclasses 4 values	education_formal_education stringclasses 2 values	education_nonformal_education stringclasses 2 values	education_pfa_pss stringclasses 2 values	education_teachers stringclasses 2 values	needs_priority_needs stringlengths 4 50	needs_priority_needs_documentation stringclasses 2 values	needs_priority_needs_education stringclasses 2 values	needs_priority_needs_employment stringclasses 2 values	needs_priority_needs_food stringclasses 2 values	needs_priority_needs_language stringclasses 2 values	needs_priority_needs_medical_care stringclasses 2 values	needs_priority_needs_psychosocial_support stringclasses 2 values	needs_priority_needs_shelter_support stringclasses 2 values	needs_priority_needs_water stringclasses 2 values	needs_priority_needs_registration stringclasses 2 values	needs_priority_needs_sanitation stringclasses 2 values	needs_priority_needs_vocational_training stringclasses 2 values	needs_priority_needs_footwear stringclasses 2 values	needs_priority_needs_clothing stringclasses 2 values	needs_priority_needs_summerization stringclasses 2 values	needs_priority_needs_other stringclasses 2 values	esa_source stringclasses 1 value	esa_processed stringdate 2026-05-04 00:00:00 2026-05-04 00:00:00
Mohamed Fadam house	Salah al-Din	Tikrit	34.594006	43.662963	null	null	self settled camp	2017-02-20T00:00:00	0	0	0	0	0	0	200	200	Yes	2016-04-01T00:00:00	Baiji	450	485	270	296	397	405	40	50	2,393	Yes	0	0	0	40	10	15	30	10	20	No	Public	null	null	No	Stay	No	null	null	null	null	null	null	No	No risk	No	More than 75%	No, electricity poor, wiring points, near, water	Yes	Yes	No	Yes	No	No	No	No	No	No	No	Yes	No	No	More than 75%	clean water	Less than 25%	No	0	0	0	200	0	0	0	0	200	0	No	Less than 25%	No	Less than 25%	No	0	null	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No septic tank	never	medium	medium	Between 25% and 50%	Between 25% and 50%	Yes	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	medium	No	Less than 25%	null	Less than 25%	null	No	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	No	No	Yes	unable purchase meds at pharm No medicine hosp No transport	No	No	No	Yes	No	No	Yes	No	No	Yes	No	No	No	No	No	No	No	trauma support	Yes	No	Other	No	No	No	No	No	No	Yes	No	Yes	rarely	dry ration	Yes	No	No	No	No	main concern1 main concern3 main concern6	Yes	No	Yes	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	Between 50% and 75%	No	Less than 25%	Yes	No	No	No	employment Water Sanitation	No	No	Yes	No	No	No	No	No	Yes	No	Yes	No	No	No	No	No	HDX	2026-05-04
pole 898	Kerbala	Kerbala	32.437124	44.178449	IQ1202-0434-096	Yes	collective shelter	2017-02-21T00:00:00	0	0	0	0	8	0	0	8	Yes	2014-08-07T00:00:00	Telafar	3	5	3	2	3	5	2	2	25	Yes	0	0	0	0	0	0	0	0	0	Yes	unkNown	null	null	No	Stay	No	null	null	null	null	null	null	No	No risk	No	Between 25% and 50%	poor, wiring	No	Yes	No	No	No	No	No	No	No	Yes	No	No	No	Yes	Between 25% and 50%	clean water	Between 25% and 50%	No	5	2	0	0	0	3	2	0	0	0	Yes	More than 75%	Yes	Between 50% and 75%	Yes	3	purchase	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	every week	No	No	Less than 25%	Less than 25%	No	Less than 25%	Less than 25%	Less than 25%	No	Yes	Less than 25%	jerrycan for kerosene	Less than 25%	coolbox	Yes	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	Less than 25%	Yes	Yes	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	trauma support	Yes	No	diarrhoea	Yes	No	No	No	No	No	No	No	No	rarely	voucher	No	No	No	No	Yes	main concern5	No	No	No	No	Yes	No	No	No	No	Yes	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	Less than 25%	No	Less than 25%	Yes	No	No	No	employment Food Water	No	No	Yes	Yes	No	No	No	No	Yes	No	No	No	No	No	No	No	HDX	2026-05-04
Mawkeb Ansar Alqaem	Qadissiya	Diwaniya	32.092901	44.759249	IQ0402-0027	Yes	collective shelter	2017-02-18T00:00:00	0	0	0	0	6	0	0	6	Yes	2014-06-16T00:00:00	Telafar	6	5	6	5	6	7	0	0	35	Yes	0	0	0	0	0	0	1	0	0	No	Private	null	Free	No	Stay	Yes	elder religious leaders	Yes	No	No	No	No	No	No risk	No	Between 25% and 50%	poor, wiring	No	Yes	No	No	No	No	No	No	No	No	No	Yes	No	Yes	Between 50% and 75%	clean water	Less than 25%	Yes	0	0	0	1	0	0	0	0	4	0	Yes	Between 50% and 75%	Yes	Between 50% and 75%	Yes	5	trucking	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	every week	No	No	Less than 25%	Less than 25%	No	Less than 25%	Less than 25%	Less than 25%	No	Yes	More than 75%	both	More than 75%	both	No	More than 75%	More than 75%	More than 75%	More than 75%	More than 75%	More than 75%	Between 50% and 75%	Between 50% and 75%	No	No	Yes	distance to treatmentcenter	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	No	trauma support	Yes	No	Do Not kNow	No	No	No	No	No	No	No	Yes	Yes	every month	dry ration	Yes	No	No	No	No	main concern5	No	No	No	No	Yes	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	More than 75%	No	Between 50% and 75%	Yes	No	Yes	No	employment Food clothing	No	No	Yes	Yes	No	No	No	No	No	No	No	No	No	Yes	No	No	HDX	2026-05-04
Habbaniya Tourist City	Anbar	Falluja	33.23963	43.57489	IQ0102-0058	Yes	collective shelter	2017-02-16T00:00:00	0	0	0	40	0	0	0	40	Yes	2014-01-20T00:00:00	Falluja	13	11	32	37	59	48	16	20	236	Yes	2	1	0	1	0	7	6	0	4	No	Public	null	null	No	return AoO	No	null	null	null	null	null	null	No	No risk	No	Between 25% and 50%	overloaded, circuits	No	No	No	No	Yes	No	No	Yes	No	No	No	No	No	No	Between 25% and 50%	clean water	Between 25% and 50%	No	0	12	12	0	2	0	14	14	0	3	Yes	Between 50% and 75%	Yes	Between 25% and 50%	Yes	67	municipality	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	every month	No	No	Less than 25%	Less than 25%	Yes	Less than 25%	Between 25% and 50%	Less than 25%	No	Yes	Between 50% and 75%	jerrycan for kerosene	Between 50% and 75%	both	No	Between 50% and 75%	Between 50% and 75%	More than 75%	More than 75%	Between 50% and 75%	Between 25% and 50%	Between 25% and 50%	Less than 25%	Yes	No	Yes	unable purchase meds at pharm No medicine hosp	No	No	No	Yes	No	No	Yes	No	No	No	No	No	No	No	No	No	No	trauma support	Yes	No	diarrhoea skin disease	Yes	No	No	No	No	Yes	No	No	No	every month	dry ration	Yes	No	No	No	No	main concern3 main concern6	No	No	Yes	No	No	Yes	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	More than 75%	Yes	Less than 25%	Yes	No	No	No	documentation Food Medical care	Yes	No	No	Yes	No	Yes	No	No	No	No	No	No	No	No	No	No	HDX	2026-05-04
Muthana hassan house	Baghdad	Abu Ghraib	33.302769	44.103443	null	null	collective shelter	2017-02-16T00:00:00	0	0	0	0	0	5	0	5	Yes	2014-06-18T00:00:00	Falluja	2	3	2	4	5	6	0	0	22	Yes	0	0	0	0	0	0	0	0	0	No	Private	null	rent	No	Stay	No	null	null	null	null	null	null	No	No risk	No	Between 25% and 50%	poor, wiring overloaded, circuits	No	Yes	No	No	Yes	No	No	No	No	No	No	Yes	No	partial access	Between 25% and 50%	clean water	Between 50% and 75%	No	0	0	0	1	0	0	0	0	1	0	No	Between 25% and 50%	No	Between 25% and 50%	No	1	broken pipe	No	No	No	Yes	No	No	No	No	No	No	No	Yes	No	No septic tank	more than monthly	MiNor	No	Less than 25%	Between 25% and 50%	Yes	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	No	No	Less than 25%	kerosene heater	Less than 25%	rechargable fan	No	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	No	No	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	gbv support	No	Yes	diarrhoea skin disease	Yes	No	No	No	No	Yes	No	No	Yes	rarely	cash	No	No	No	Yes	No	main concern6	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	More than 75%	No	Less than 25%	Yes	No	No	No	employment Medical care shelter support	No	No	Yes	No	No	Yes	No	Yes	No	No	No	No	No	No	No	No	HDX	2026-05-04
Mawkeb Kerbala people	Kerbala	Kerbala	32.465269	44.161556	IQ1202-0430-019	Yes	collective shelter	2017-02-19T00:00:00	0	0	0	0	5	0	0	5	Yes	2014-08-19T00:00:00	Hamdaniya	2	2	5	9	6	5	1	1	31	Yes	1	0	0	0	0	2	0	0	1	No	Private	null	Free	No	Stay	No	null	null	null	null	null	null	No	No risk	No	More than 75%	Non	No	No	No	No	No	Yes	No	No	No	No	No	Yes	No	Yes	Less than 25%	clean water	Less than 25%	No	4	0	0	0	0	6	0	0	2	0	Yes	Between 25% and 50%	Yes	Between 25% and 50%	Yes	9	municipality purchase	No	No	No	No	No	No	Yes	Yes	No	No	No	No	No	No	every day	No	No	Less than 25%	Less than 25%	No	Less than 25%	Less than 25%	Less than 25%	No	Yes	Between 50% and 75%	both	More than 75%	both	No	Between 50% and 75%	More than 75%	More than 75%	More than 75%	More than 75%	More than 75%	More than 75%	Less than 25%	No	Yes	Yes	healthcare cost	Yes	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	trauma support	Yes	No	soil transmitted helminths	No	No	No	No	Yes	No	No	No	Yes	every month	dry ration	Yes	No	No	No	No	main concern6	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	More than 75%	No	Between 25% and 50%	Yes	No	No	No	vocational training clothing summerization	No	No	No	No	No	No	No	No	No	No	No	Yes	No	Yes	Yes	No	HDX	2026-05-04
Mawkeb Qandil Arsh Allah	Kerbala	Kerbala	32.456771	44.166568	IQ1202-0430-052	Yes	collective shelter	2017-02-19T00:00:00	0	0	0	0	5	0	0	5	Yes	2014-08-03T00:00:00	Telafar	3	3	4	4	6	8	0	1	29	Yes	0	0	0	1	0	0	1	0	1	No	Private	null	Free	No	Stay	No	null	null	null	null	null	null	No	No risk	No	Less than 25%	poor, wiring	No	Yes	No	No	No	No	No	No	No	No	No	Yes	No	Yes	Between 50% and 75%	poor quality	Between 25% and 50%	Yes	8	0	0	0	0	8	3	0	0	0	Yes	Less than 25%	Yes	Between 25% and 50%	Yes	13	purchase	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	every day	No	No	Less than 25%	Less than 25%	No	Less than 25%	Between 25% and 50%	Less than 25%	No	Yes	Between 25% and 50%	both	Between 50% and 75%	both	No	More than 75%	More than 75%	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	Less than 25%	Less than 25%	No	Yes	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	trauma support	Yes	No	Do Not kNow	No	No	No	No	No	No	No	Yes	Yes	rarely	voucher	No	No	No	No	Yes	main concern5 main concern6	No	No	No	No	Yes	Yes	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	More than 75%	No	Between 25% and 50%	Yes	No	No	No	education employment Food	No	Yes	Yes	Yes	No	No	No	No	No	No	No	No	No	No	No	No	HDX	2026-05-04
Shaklawa complex	Salah al-Din	Tikrit	34.621409	43.677042	null	null	collective shelter	2017-02-18T00:00:00	504	0	0	0	0	0	0	504	Yes	2016-06-22T00:00:00	Baiji	185	132	98	87	1,350	1,107	28	37	3,024	Yes	97	25	8	15	6	32	74	52	125	No	Private	null	null	Yes	return AoO	Yes	camp committee	No	Yes	No	No	No	No	No risk	No	More than 75%	poor, wiring low, uncovered, points points, near, water overloaded, circuits	No	Yes	Yes	Yes	Yes	No	No	Yes	No	No	No	No	No	No	Between 50% and 75%	clean water	More than 75%	No	0	50	50	0	0	0	75	75	0	0	Yes	Less than 25%	Yes	Less than 25%	No	60	trucking municipality	No	No	Yes	No	No	No	Yes	No	No	No	No	No	Yes	No septic tank	every week	severe	severe	More than 75%	More than 75%	Yes	More than 75%	More than 75%	More than 75%	severe	No	Less than 25%	null	Less than 25%	null	No	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Yes	No	Yes	healthcare cost unable purchase meds at pharm No transport distance to treatmentcenter	Yes	No	No	Yes	No	No	No	No	No	Yes	No	No	No	No	No	Yes	No	trauma support	Yes	No	diarrhoea typhoid hepatitis A E soil transmitted helminths skin disease Other	Yes	No	Yes	Yes	Yes	Yes	Yes	No	No	every month	dry ration	Yes	No	No	No	No	main concern1 main concern2 main concern3 main concern5 main concern6	Yes	Yes	Yes	No	Yes	Yes	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	Yes	Yes	Yes	No	No	No	No	No	No	No	More than 75%	Yes	Less than 25%	No	No	No	No	employment Food summerization	No	No	Yes	Yes	No	No	No	No	No	No	No	No	No	No	Yes	No	HDX	2026-05-04
Husseiniyat assirat almustaqim	Kerbala	Kerbala	32.454051	44.168272	IQ1202-0430-040	Yes	collective shelter	2017-02-19T00:00:00	0	0	0	0	5	0	0	5	Yes	2014-08-11T00:00:00	Telafar	1	3	3	4	7	9	0	2	29	Yes	0	0	0	0	0	1	0	0	0	No	Private	null	Free	No	return AoO	No	null	null	null	null	null	null	No	No risk	No	Less than 25%	Non	No	No	No	No	No	Yes	No	No	No	No	No	Yes	No	Yes	Between 25% and 50%	poor quality	Between 25% and 50%	No	9	4	2	0	0	10	2	2	0	0	Yes	Less than 25%	Yes	Less than 25%	Yes	13	municipality purchase	No	No	No	No	No	No	Yes	Yes	No	No	No	No	No	No	every day	No	No	Between 25% and 50%	Between 25% and 50%	No	Between 25% and 50%	Between 25% and 50%	Less than 25%	No	Yes	Between 25% and 50%	both	Between 25% and 50%	both	No	Between 50% and 75%	More than 75%	Between 50% and 75%	Between 50% and 75%	Less than 25%	Between 25% and 50%	Less than 25%	Less than 25%	No	Yes	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	trauma support	Yes	No	Do Not kNow	No	No	No	No	No	No	No	Yes	Yes	every month	dry ration voucher	Yes	No	No	No	Yes	main concern5	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	More than 75%	No	Between 25% and 50%	Yes	No	No	Yes	employment Food summerization	No	No	Yes	Yes	No	No	No	No	No	No	No	No	No	No	Yes	No	HDX	2026-05-04
Al-Sadiqiyah	Anbar	Ramadi	33.392502	43.497919	IQ0106-0015	Yes	collective shelter	2017-02-16T00:00:00	40	0	0	0	0	0	0	40	Yes	2015-02-08T00:00:00	Ramadi	13	10	32	39	59	48	16	19	236	Yes	2	1	0	0	0	7	4	2	4	No	unkNown	null	null	No	return AoO	No	null	null	null	null	null	null	No	No risk	No	Between 50% and 75%	poor, wiring	No	Yes	No	No	No	No	No	Yes	No	No	No	No	No	partial access	Between 50% and 75%	poor quality	Between 25% and 50%	No	2	8	8	0	1	2	6	8	0	2	Yes	Between 50% and 75%	Yes	Between 50% and 75%	Yes	35	illegal trucking	Yes	No	Yes	No	No	No	No	No	No	No	No	No	No	No	every month	MiNor	No	Between 50% and 75%	Less than 25%	Yes	Between 50% and 75%	Between 50% and 75%	Less than 25%	MiNor	Yes	More than 75%	jerrycan for kerosene	Between 50% and 75%	both	No	More than 75%	More than 75%	More than 75%	More than 75%	More than 75%	More than 75%	More than 75%	Less than 25%	Yes	Yes	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	trauma support	Yes	No	diarrhoea skin disease	Yes	No	No	No	No	Yes	No	No	No	every month	dry ration	Yes	No	No	No	No	main concern6	No	No	No	No	No	Yes	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	More than 75%	Yes	Between 25% and 50%	No	No	No	No	Food Medical care Water	No	No	No	Yes	No	Yes	No	No	Yes	No	No	No	No	No	No	No	HDX	2026-05-04
Mawkib Al Abrar Al Huseini	Najaf	Najaf	32.192654	44.307637	null	null	collective shelter	2017-02-18T00:00:00	0	0	0	0	5	0	0	5	Yes	2014-06-21T00:00:00	Mosul	2	2	7	6	9	8	1	1	36	Yes	1	0	0	0	1	3	1	0	0	No	Private	null	null	No	Stay	Yes	elder religious leaders local auth	Yes	No	Yes	No	No	No	No risk	No	Less than 25%	poor, wiring low, uncovered, points overloaded, circuits	No	Yes	Yes	No	Yes	No	No	No	No	No	No	Yes	No	Yes	Less than 25%	clean water	Less than 25%	No	5	0	0	0	1	5	0	0	0	1	Yes	Less than 25%	Yes	Less than 25%	Yes	6	trucking municipality purchase	No	No	Yes	No	No	No	Yes	Yes	No	No	No	No	No	Yes	every month	No	No	Less than 25%	Less than 25%	Yes	Less than 25%	Between 25% and 50%	Between 25% and 50%	No	Yes	Less than 25%	jerrycan for kerosene	Less than 25%	coolbox	Yes	Between 50% and 75%	Between 25% and 50%	Less than 25%	Less than 25%	Between 50% and 75%	Between 25% and 50%	Less than 25%	Less than 25%	No	Yes	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	trauma support	Yes	No	soil transmitted helminths skin disease	No	No	No	No	Yes	Yes	No	No	Yes	every month	dry ration	Yes	No	No	No	No	main concern5 main concern6	No	No	No	No	Yes	Yes	No	No	No	Yes	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	More than 75%	No	Less than 25%	Yes	No	No	Yes	employment clothing summerization	No	No	Yes	No	No	No	No	No	No	No	No	No	No	Yes	Yes	No	HDX	2026-05-04
Mawkib Shabab Al Ghadeer	Najaf	Najaf	32.180461	44.311674	null	null	collective shelter	2017-02-19T00:00:00	0	0	0	0	7	0	0	7	Yes	2014-07-10T00:00:00	Telafar	4	2	8	7	8	8	1	1	39	Yes	0	0	0	1	0	0	0	0	1	No	Private	null	Free	Yes	return AoO	Yes	elder religious leaders	Yes	No	No	No	No	No	No risk	No	Between 25% and 50%	points, near, water overloaded, circuits	No	No	No	Yes	Yes	No	No	No	No	No	No	Yes	No	partial access	Between 25% and 50%	clean water	Between 25% and 50%	No	0	0	0	2	1	0	0	0	3	0	Yes	Between 25% and 50%	Yes	Between 25% and 50%	Yes	8	trucking purchase	No	No	Yes	No	No	No	No	Yes	No	No	No	No	No	No	more than monthly	MiNor	MiNor	Between 25% and 50%	Between 25% and 50%	Yes	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	MiNor	Yes	Between 25% and 50%	null	Between 25% and 50%	null	No	Between 50% and 75%	Between 50% and 75%	Between 25% and 50%	Less than 25%	Between 25% and 50%	Between 25% and 50%	Less than 25%	Less than 25%	Yes	Yes	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	trauma support	Yes	No	soil transmitted helminths skin disease	No	No	No	No	Yes	Yes	No	No	Yes	every month	voucher	No	No	No	No	Yes	main concern6	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	Between 50% and 75%	No	Between 25% and 50%	Yes	No	No	No	employment Medical care vocational training	No	No	Yes	No	No	Yes	No	No	No	No	No	Yes	No	No	No	No	HDX	2026-05-04
Abou Abeid - Walid Adnan house	Salah al-Din	Tikrit	34.590208	43.662682	null	null	self settled camp	2017-02-20T00:00:00	0	0	0	0	0	0	135	135	Yes	2016-04-10T00:00:00	Baiji	170	196	95	110	147	175	20	35	948	Yes	0	0	0	8	0	10	20	0	15	No	Public	null	null	No	Stay	No	null	null	null	null	null	null	No	No risk	No	More than 75%	No, electricity poor, wiring low, uncovered, points	Yes	Yes	Yes	No	No	No	No	No	No	No	No	Yes	No	No	Less than 25%	clean water	Less than 25%	No	0	0	0	75	0	0	0	0	75	0	No	Less than 25%	No	Less than 25%	No	0	null	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No septic tank	never	medium	MiNor	Between 25% and 50%	Between 25% and 50%	No	Between 25% and 50%	Between 25% and 50%	Less than 25%	MiNor	No	Less than 25%	null	Less than 25%	null	No	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	No	No	Yes	unable purchase meds at pharm No medicine hosp No transport	No	No	No	Yes	No	No	Yes	No	No	Yes	No	No	No	No	No	No	No	trauma support	Yes	No	Do Not kNow	No	No	No	No	No	No	No	Yes	No	never	null	null	null	null	null	null	main concern1 main concern3 main concern6	Yes	No	Yes	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	More than 75%	No	Less than 25%	Yes	No	No	No	employment Water Sanitation	No	No	Yes	No	No	No	No	No	Yes	No	Yes	No	No	No	No	No	HDX	2026-05-04
Basra Hay Al Risalah	Basrah	Basrah	30.501688	47.806706	IQ0202-0008	Yes	collective shelter	2017-02-15T00:00:00	0	0	9	0	0	0	0	9	Yes	2014-08-06T00:00:00	Mosul	2	2	5	12	8	10	1	1	41	Yes	1	0	0	2	0	0	2	0	1	No	Public	null	null	No	Stay	Yes	local auth	No	No	Yes	No	No	No	No risk	No	Between 25% and 50%	poor, wiring low, uncovered, points overloaded, circuits	No	Yes	Yes	No	Yes	No	No	No	No	No	No	Yes	No	Yes	Less than 25%	clean water	Between 25% and 50%	No	0	0	0	4	0	0	0	0	4	0	No	Less than 25%	No	Less than 25%	Yes	6	trucking	No	No	Yes	No	No	No	No	No	No	No	No	No	Yes	No	every week	No	No	Between 25% and 50%	Between 50% and 75%	Yes	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	MiNor	No	Less than 25%	null	Less than 25%	null	No	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Less than 25%	Yes	Yes	Yes	unable purchase meds at pharm No medicine hosp	No	No	No	Yes	No	No	Yes	No	No	No	No	No	No	No	No	No	No	trauma support	Yes	No	Do Not kNow	No	No	No	No	No	No	No	Yes	Yes	every month	dry ration	Yes	No	No	No	No	main concern2 main concern3 main concern6	No	Yes	Yes	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	Between 50% and 75%	No	Less than 25%	Yes	No	No	No	employment Food summerization	No	No	Yes	Yes	No	No	No	No	No	No	No	No	No	No	Yes	No	HDX	2026-05-04
Mawkib Al Hasan Al Mujtaba	Najaf	Najaf	32.194091	44.307051	null	null	collective shelter	2017-02-19T00:00:00	0	0	0	0	6	0	0	6	Yes	2014-07-01T00:00:00	Telafar	1	3	8	5	7	6	1	1	32	Yes	0	0	0	3	0	0	0	0	0	No	Private	null	Free	Yes	Stay	Yes	elder religious leaders	Yes	No	No	No	No	No	No risk	No	Between 25% and 50%	poor, wiring overloaded, circuits	No	Yes	No	No	Yes	No	No	No	No	No	No	Yes	No	No	Between 25% and 50%	clean water	Between 25% and 50%	No	0	0	0	2	1	0	0	0	4	2	Yes	Between 50% and 75%	Yes	Between 25% and 50%	Yes	8	trucking purchase	No	No	Yes	No	No	No	No	Yes	No	No	No	No	No	No	every month	MiNor	MiNor	Between 25% and 50%	Between 25% and 50%	Yes	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	MiNor	Yes	Between 25% and 50%	null	Between 25% and 50%	null	No	Between 50% and 75%	Between 50% and 75%	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	Less than 25%	Yes	Yes	Yes	unqualified staff phc No offered treatment phc No offered treatment hosp	No	No	Yes	No	No	No	No	No	No	No	Yes	Yes	No	No	No	No	No	trauma support	Yes	No	skin disease	No	No	No	No	No	Yes	No	No	Yes	every month	voucher	No	No	No	No	Yes	main concern6	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	Between 50% and 75%	Yes	Between 25% and 50%	Yes	No	No	No	Medical care Psychosocial Support Water	No	No	No	No	No	Yes	Yes	No	Yes	No	No	No	No	No	No	No	HDX	2026-05-04
Hay Althubat - Omar Aljarad house	Salah al-Din	Tikrit	34.631945	43.672208	null	null	dispersed settlements	2017-02-18T00:00:00	0	6	0	0	0	0	0	6	Yes	2016-07-10T00:00:00	Baiji	8	9	7	4	9	8	0	2	47	Yes	2	0	0	2	1	4	2	0	2	No	Private	null	Free	No	return AoO	No	null	null	null	null	null	null	No	Yes risk	No	Between 50% and 75%	poor, wiring points, near, water	No	Yes	No	Yes	No	No	No	No	No	No	No	Yes	No	partial access	Less than 25%	clean water	More than 75%	No	0	0	0	1	0	0	0	0	1	0	Yes	More than 75%	Yes	More than 75%	No	1	illegal	Yes	No	No	No	No	No	No	No	No	No	No	No	No	No	every month	No	No	Between 25% and 50%	More than 75%	No	More than 75%	More than 75%	More than 75%	No	Yes	Less than 25%	kerosene heater	Less than 25%	null	No	Between 25% and 50%	Less than 25%	Less than 25%	Between 25% and 50%	Between 25% and 50%	Less than 25%	Less than 25%	Less than 25%	No	No	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	trauma support	Yes	No	Other	No	No	No	No	No	No	Yes	No	No	never	null	null	null	null	null	null	main concern1 main concern2 main concern3 main concern6	Yes	Yes	Yes	No	No	Yes	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	More than 75%	No	Less than 25%	Yes	No	No	No	Food Medical care summerization	No	No	No	Yes	No	Yes	No	No	No	No	No	No	No	No	Yes	No	HDX	2026-05-04
840	Kerbala	Kerbala	32.414353	44.194397	IQ1202-0434-069	Yes	collective shelter	2017-02-22T00:00:00	0	0	0	0	8	0	0	8	Yes	2014-06-14T00:00:00	Telafar	5	7	8	9	5	5	1	1	41	Yes	0	0	0	0	0	0	0	0	0	No	unkNown	null	null	No	Stay	No	null	null	null	null	null	null	No	No risk	No	Less than 25%	poor, wiring	No	Yes	No	No	No	No	No	Yes	No	No	No	No	No	Yes	Less than 25%	clean water	Less than 25%	No	4	6	6	0	0	4	6	6	0	1	Yes	Between 50% and 75%	Yes	More than 75%	Yes	6	trucking purchase	No	No	Yes	No	No	No	No	Yes	No	No	No	No	No	No	every week	No	No	Less than 25%	Less than 25%	No	Less than 25%	Less than 25%	Less than 25%	No	Yes	Between 25% and 50%	jerrycan for kerosene	Between 25% and 50%	coolbox	Yes	Between 50% and 75%	Between 25% and 50%	Between 50% and 75%	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	Between 25% and 50%	Less than 25%	Yes	Yes	No	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	trauma support	Yes	No	diarrhoea	Yes	No	No	No	No	No	No	No	No	rarely	voucher	No	No	No	No	Yes	main concern5	No	No	No	No	Yes	No	No	No	No	Yes	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	No	Yes	No	No	Less than 25%	No	Less than 25%	Yes	No	No	No	education Medical care	No	Yes	No	No	No	Yes	No	No	No	No	No	No	No	No	No	No	HDX	2026-05-04

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Risk Assessment Site Priority (RASP)

Publisher: CCCM Cluster · Source: HDX · License: cc-by · Updated: 2023-10-18

Abstract

The RASP is the technical tool of the CCCM Cluster which captures data from informal settlements and provides location specific information about the population, their living conditions and humanitarian needs.

Each row in this dataset represents subnational administrative unit observations. Temporal coverage is indicated by the date, background_date_first_occupied column(s). Geographic scope: IRQ.

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

Dataset Characteristics


Domain	Food security and nutrition
Unit of observation	Subnational administrative unit observations
Rows (total)	300
Columns	241 (45 numeric, 194 categorical, 2 datetime)
Train split	240 rows
Test split	60 rows
Geographic scope	IRQ
Publisher	CCCM Cluster
HDX last updated	2023-10-18

Variables

Geographic — district (Tikrit, Kerbala, Najaf), coordinates_latitude (range 30.4525–34.6616), coordinates_longitude (range 43.4979–47.8558), site_typology (collective shelter, dispersed settlements, self settled camp), shelter_types_tent (range 0.0–8.0) and 150 others.

Temporal — date, background_date_first_occupied, nfi_shelter_winter_season, nfi_shelter_summer_season.

Demographic — hh_total_families (range 5.0–1750.0), hh_total_families_confirm (Yes), background_males_0_4 (range 0.0–450.0), background_females_0_4 (range 0.0–485.0), background_males_5_17 (range 1.0–1343.0) and 6 others.

Outcome / Measurement — governorate (Salah al-Din, Kerbala, Najaf), wash_water_amount, livelihoods_income.

Identifier / Metadata — camp_name (Unfinished house, Khan dari Hay Al Shuhdaa, Al Bassam -Qasam Al Sheyahan village ), site_ssid (IQ1202-0430-036, IQ1202-0430-033, IQ1202-0430-034), vulnerabilities_groups_widow, sanitation_drinking_natural_source, esa_source and 1 others.

Other — site_active (Yes), vulnerabilities_groups_f_hoh, vulnerabilities_groups_child_hoh, vulnerabilities_groups_unaccompanied, vulnerabilities_groups_ppl_mental_dis and 57 others.

Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-rasp")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

Schema

Column	Type	Null %	Range / Sample Values
`camp_name`	object	0.0%	Unfinished house, Khan dari Hay Al Shuhdaa, Al Bassam -Qasam Al Sheyahan village
`governorate`	object	0.0%	Salah al-Din, Kerbala, Najaf
`district`	object	0.0%	Tikrit, Kerbala, Najaf
`coordinates_latitude`	float64	0.0%	30.4525 – 34.6616 (mean 33.1617)
`coordinates_longitude`	float64	0.0%	43.4979 – 47.8558 (mean 44.2071)
`site_ssid`	object	61.3%	IQ1202-0430-036, IQ1202-0430-033, IQ1202-0430-034
`site_active`	object	61.0%	Yes
`site_typology`	object	0.0%	collective shelter, dispersed settlements, self settled camp
`date`	datetime64[ns]	0.0%
`shelter_types_tent`	int64	0.0%	0.0 – 8.0 (mean 0.0733)
`shelter_types_unfinished_building`	int64	0.0%	0.0 – 1750.0 (mean 11.2833)
`shelter_types_abandoned_building`	int64	0.0%	0.0 – 541.0 (mean 3.97)
`shelter_types_improvised_shelter`	int64	0.0%	0.0 – 15.0 (mean 0.4467)
`shelter_types_prefab`	int64	0.0%	0.0 – 26.0 (mean 0.33)
`shelter_types_school`	int64	0.0%	0.0 – 48.0 (mean 1.2633)
`shelter_types_religious`	int64	0.0%	0.0 – 35.0 (mean 2.8567)
`shelter_types_private`	int64	0.0%	0.0 – 70.0 (mean 0.5467)
`shelter_types_public`	int64	0.0%	0.0 – 88.0 (mean 0.61)
`shelter_types_military`	int64	0.0%	0.0 – 0.0 (mean 0.0)
`shelter_types_open_air`	int64	0.0%	0.0 – 0.0 (mean 0.0)
`shelter_types_others`	int64	0.0%	0.0 – 280.0 (mean 4.0667)
`hh_total_families`	int64	0.0%	5.0 – 1750.0 (mean 25.4467)
`hh_total_families_confirm`	object	0.0%	Yes
`background_date_first_occupied`	datetime64[ns]	0.0%
`background_district_aoo`	object	0.0%	Telafar, Baiji, Shirqat
`background_males_0_4`	int64	0.0%	0.0 – 450.0 (mean 14.54)
`background_females_0_4`	int64	0.0%	0.0 – 485.0 (mean 15.1533)
`background_males_5_17`	int64	0.0%	1.0 – 1343.0 (mean 19.1767)
`background_females_5_17`	int64	0.0%	0.0 – 1218.0 (mean 20.6333)
`background_males_18_59`	int64	0.0%	1.0 – 3340.0 (mean 37.62)
`background_females_18_59`	int64	0.0%
`background_males_60_over`	int64	0.0%
`background_females_60_over`	int64	0.0%
`background_hh_ages_total_population`	int64	0.0%
`background_hh_ages_total_population_confirm`	object	0.0%	Yes
`vulnerabilities_groups_f_hoh`	int64	0.0%
`vulnerabilities_groups_child_hoh`	int64	0.0%
`vulnerabilities_groups_unaccompanied`	int64	0.0%
`vulnerabilities_groups_ppl_physical_dis`	int64	0.0%
`vulnerabilities_groups_ppl_mental_dis`	int64	0.0%
`vulnerabilities_groups_preg_or_lac`	int64	0.0%
`vulnerabilities_groups_ppl_chronic_disease`	int64	0.0%
`vulnerabilities_groups_elderly_at_risk`	int64	0.0%
`vulnerabilities_groups_widow`	int64	0.0%
`social_cohesion_tension`	object	0.0%	No, Yes
`social_cohesion_owner`	object	0.0%
`social_cohesion_whatform`	float64	49.0%
`social_cohesion_whatarrangement`	object	46.7%
`social_cohesion_eviction`	object	0.0%
`social_cohesion_intentions`	object	0.0%
`social_cohesion_leadership`	object	0.0%
`social_cohesion_leadership_structure_who`	object	59.0%
`social_cohesion_leadership_structure_who_elder_religious_leaders`	object	57.3%
`social_cohesion_leadership_structure_who_camp_committee`	object	57.3%
`social_cohesion_leadership_structure_who_local_auth`	object	57.3%
`social_cohesion_leadership_structure_who_other`	object	57.3%
`social_cohesion_leadership_structure_who_none`	object	57.3%
`physical_environment_chemicals`	object	0.0%
`physical_environment_mines`	object	0.0%
`physical_environment_hazardous_site`	object	0.0%
`physical_environment_electric`	object	0.0%
`physical_environment_elec_concerns`	object	0.0%
`physical_environment_elec_concerns_no_electricity`	object	0.0%
`physical_environment_elec_concerns_poor_wiring`	object	0.0%
`physical_environment_elec_concerns_low_uncovered_points`	object	0.0%
`physical_environment_elec_concerns_points_near_water`	object	0.0%
`physical_environment_elec_concerns_overloaded_circuits`	object	0.0%
`physical_environment_elec_concerns_non`	object	0.0%
`physical_environment_elec_concerns_other`	object	0.0%
`physical_environment_fire_equipment_fire_extinguishers`	object	0.0%
`physical_environment_fire_equipment_fire_blankets`	object	0.0%
`physical_environment_fire_equipment_sand_buckets`	object	0.0%
`physical_environment_fire_equipment_smoke_detectors`	object	0.0%
`physical_environment_fire_equipment_none`	object	0.0%
`physical_environment_fire_equipment_other`	object	0.0%
`physical_environment_dis_access`	object	0.0%
`wash_water_access`	object	0.0%
`wash_water_qual`	object	0.0%
`wash_water_infas`	object	0.0%
`wash_water_amount`	object	0.0%
`showers_ind_hh_showers`	int64	0.0%
`showers_womenshower`	int64	0.0%
`showers_menshower`	int64	0.0%
`showers_mixedshower`	int64	0.0%
`showers_nonfunctionalshowers`	int64	0.0%
`latrines_ind_hh_latrines`	int64	0.0%
`latrines_womenlatrine`	int64	0.0%
`latrines_menlatrine`	int64	0.0%
`latrines_mixedlatrine`	int64	0.0%
`latrines_nonfunctionallatrines`	int64	0.0%
`l_s_protection_showers_lock`	object	0.0%
`l_s_protection_showers_light`	object	0.0%
`l_s_protection_latrines_lock`	object	0.0%
`l_s_protection_latrines_light`	object	0.0%
`sanitation_soap`	object	0.0%
`sanitation_functional_taps`	int64	0.0%
`sanitation_drinking`	object	3.0%
`sanitation_drinking_illegal`	object	0.0%
`sanitation_drinking_treatment_plant`	object	0.0%
`sanitation_drinking_trucking`	object	0.0%
`sanitation_drinking_broken_pipe`	object	0.0%
`sanitation_drinking_natural_source`	object	0.0%
`sanitation_drinking_public_well`	object	0.0%
`sanitation_drinking_municipality`	object	0.0%
`sanitation_drinking_purchase`	object	0.0%
`sanitation_drinking_private_well`	object	0.0%
`sanitation_drinking_borehole`	object	0.0%
`sanitation_drinking_none`	object	0.0%
`sanitation_flooding`	object	0.0%
`sanitation_open_def`	object	0.0%
`sanitation_septic_tank`	object	0.0%
`sanitation_wastefrequency`	object	0.0%
`physical_conditions_person_hazards`	object	0.0%
`physical_conditions_falling_hazards`	object	0.0%
`physical_conditions_elements`	object	0.0%
`physical_conditions_damage`	object	0.0%
`physical_conditions_overcrowding`	object	0.0%
`physical_conditions_window_damage`	object	0.0%
`physical_conditions_door_damage`	object	0.0%
`physical_conditions_roof_damage`	object	0.0%
`physical_conditions_structure_injury_risk`	object	0.0%
`nfi_shelter_cleaning_material`	object	0.0%
`nfi_shelter_winter_season`	object	0.0%
`nfi_shelter_w_nfi`	object	37.7%
`nfi_shelter_summer_season`	object	0.0%
`nfi_shelter_s_nfi`	object	38.3%
`nfi_shelter_tool_kit`	object	0.0%
`nfi_items_blankets`	object	0.0%
`nfi_items_mattress`	object	0.0%
`nfi_items_water_container`	object	0.0%
`nfi_items_oven`	object	0.0%
`nfi_items_kitchen_nfi`	object	0.0%
`nfi_items_hygiene`	object	0.0%
`nfi_items_feminine`	object	0.0%
`nfi_items_other_nfi_items`	object	0.0%
`health_health_services`	object	0.0%
`health_health_services_preg`	object	0.0%
`health_access_difficulty`	object	0.0%
`health_difficulty_type`	object	63.7%
`health_difficulty_type_healthcare_cost`	object	63.7%
`health_difficulty_type_unqualified_staff_hosp`	object	63.7%
`health_difficulty_type_unqualified_staff_phc`	object	63.7%
`health_difficulty_type_unable_purchase_meds_at_pharm`	object	63.7%
`health_difficulty_type_language_barrier`	object	63.7%
`health_difficulty_type_refused_treatment`	object	63.7%
`health_difficulty_type_no_medicine_hosp`	object	63.7%
`health_difficulty_type_no_medicine_pharm`	object	63.7%
`health_difficulty_type_no_medicine_phc`	object	63.7%
`health_difficulty_type_no_transport`	object	63.7%
`health_difficulty_type_no_offered_treatment_phc`	object	63.7%
`health_difficulty_type_no_offered_treatment_hosp`	object	63.7%
`health_difficulty_type_civ_docs_problems`	object	63.7%
`health_difficulty_type_no_referral_phc`	object	63.7%
`health_difficulty_type_phc_closed`	object	63.7%
`health_difficulty_type_distance_to_treatmentcenter`	object	63.7%
`health_difficulty_type_other`	object	63.7%
`health_pyschosocial_support`	object	0.0%
`health_pyschosocial_support_trauma_support`	object	0.0%
`health_pyschosocial_support_gbv_support`	object	0.0%
`health_ilness_type`	object	0.0%
`health_ilness_type_diarrhoea`	object	0.0%
`health_ilness_type_cholera`	object	0.0%
`health_ilness_type_typhoid`	object	0.0%
`health_ilness_type_hepatitis_a_e`	object	0.0%
`health_ilness_type_soil_transmitted_helminths`	object	0.0%
`health_ilness_type_skin_disease`	object	0.0%
`health_ilness_type_other`	object	0.0%
`health_ilness_type_do_not_know`	object	0.0%
`food_security_food_access`	object	0.0%
`food_security_food_assistance_freq`	object	0.0%
`food_security_food_assistance_type`	object	6.3%
`food_security_food_assistance_type_dry_ration`	object	6.3%
`food_security_food_assistance_type_wet_feeding`	object	6.3%
`food_security_food_assistance_type_ready_to_eat_box`	object	6.3%
`food_security_food_assistance_type_cash`	object	6.3%
`food_security_food_assistance_type_voucher`	object	6.3%
`food_security_main_concern`	object	0.0%
`food_security_main_concern_main_concern1`	object	0.0%
`food_security_main_concern_main_concern2`	object	0.0%
`food_security_main_concern_main_concern3`	object	0.0%
`food_security_main_concern_main_concern4`	object	0.0%
`food_security_main_concern_main_concern5`	object	0.0%
`food_security_main_concern_main_concern6`	object	0.0%
`food_security_main_concern_main_concern7`	object	0.0%
`food_security_main_concern_main_concern8`	object	0.0%
`food_security_main_concern_main_concern9`	object	0.0%
`food_security_food_storage`	object	0.0%
`protection_security_incidents`	object	0.0%
`protection_security_nearby`	object	0.0%
`protection_security_menboys`	object	0.0%
`protection_security_womengirls`	object	0.0%
`protection_safety_m_b_in_shelters`	object	0.0%
`protection_safety_m_b_specific_areas_in_the_camp`	object	0.0%
`protection_safety_m_b_water_point`	object	0.0%
`protection_safety_m_b_latrines`	object	0.0%
`protection_safety_m_b_bathing`	object	0.0%
`protection_safety_m_b_market`	object	0.0%
`protection_safety_m_b_school`	object	0.0%
`protection_safety_m_b_health_centre`	object	0.0%
`protection_safety_m_b_feeding_distribution_centre`	object	0.0%
`protection_safety_m_b_none`	object	0.0%
`protection_safety_m_b_other`	object	0.0%
`protection_safety_m_b_chose_not_answer`	object	0.0%
`protection_safety_w_g_in_shelters`	object	0.0%
`protection_safety_w_g_specific_areas_in_the_camp`	object	0.0%
`protection_safety_w_g_water_point`	object	0.0%
`protection_safety_w_g_latrines`	object	0.0%
`protection_safety_w_g_bathing`	object	0.0%
`protection_safety_w_g_market`	object	0.0%
`protection_safety_w_g_school`	object	0.0%
`protection_safety_w_g_health_centre`	object	0.0%
`protection_safety_w_g_feeding_distribution_centre`	object	0.0%
`protection_safety_w_g_none`	object	0.0%
`protection_safety_w_g_other`	object	0.0%
`protection_safety_w_g_chose_not_answer`	object	0.0%
`protection_reg_modm`	object	0.0%
`protection_civil_documents`	object	0.0%
`livelihoods_income`	object	0.0%
`education_formal_education`	object	0.0%
`education_nonformal_education`	object	0.0%
`education_pfa_pss`	object	0.0%
`education_teachers`	object	0.0%
`needs_priority_needs`	object	0.0%
`needs_priority_needs_documentation`	object	0.0%
`needs_priority_needs_education`	object	0.0%
`needs_priority_needs_employment`	object	0.0%
`needs_priority_needs_food`	object	0.0%
`needs_priority_needs_language`	object	0.0%
`needs_priority_needs_medical_care`	object	0.0%
`needs_priority_needs_psychosocial_support`	object	0.0%
`needs_priority_needs_shelter_support`	object	0.0%
`needs_priority_needs_water`	object	0.0%
`needs_priority_needs_registration`	object	0.0%
`needs_priority_needs_sanitation`	object	0.0%
`needs_priority_needs_vocational_training`	object	0.0%
`needs_priority_needs_footwear`	object	0.0%
`needs_priority_needs_clothing`	object	0.0%
`needs_priority_needs_summerization`	object	0.0%
`needs_priority_needs_other`	object	0.0%
`esa_source`	object	0.0%
`esa_processed`	object	0.0%

Numeric Summary

Column	Min	Max	Mean	Median
`coordinates_latitude`	30.4525	34.6616	33.1617	33.2462
`coordinates_longitude`	43.4979	47.8558	44.2071	44.1401
`shelter_types_tent`	0.0	8.0	0.0733	0.0
`shelter_types_unfinished_building`	0.0	1750.0	11.2833	0.0
`shelter_types_abandoned_building`	0.0	541.0	3.97	0.0
`shelter_types_improvised_shelter`	0.0	15.0	0.4467	0.0
`shelter_types_prefab`	0.0	26.0	0.33	0.0
`shelter_types_school`	0.0	48.0	1.2633	0.0
`shelter_types_religious`	0.0	35.0	2.8567	0.0
`shelter_types_private`	0.0	70.0	0.5467	0.0
`shelter_types_public`	0.0	88.0	0.61	0.0
`shelter_types_military`	0.0	0.0	0.0	0.0
`shelter_types_open_air`	0.0	0.0	0.0	0.0
`shelter_types_others`	0.0	280.0	4.0667	0.0
`hh_total_families`	5.0	1750.0	25.4467	6.0

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. 23 column(s) with >80% missing values were removed: other_shelter_type, social_cohesion_evict_when, social_cohesion_governorate_move, social_cohesion_leadership_structure_other, physical_environment_elec_concerns_others, physical_environment_fire_equipment.... 3 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 CCCM Cluster 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: site_ssid, site_active, social_cohesion_whatform, social_cohesion_whatarrangement, social_cohesion_leadership_structure_who, social_cohesion_leadership_structure_who_elder_religious_leaders, social_cohesion_leadership_structure_who_camp_committee, social_cohesion_leadership_structure_who_local_auth....
Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

Citation

@dataset{hdx_asia_rasp,
  title     = {Risk Assessment Site Priority (RASP)},
  author    = {CCCM Cluster},
  year      = {2023},
  url       = {https://data.humdata.org/dataset/rasp},
  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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