Datasets:

electricsheepafrica
/

lastmile-distribution-transport

id int64	scenario string	delivery_model string	facility_id string	hub_id string	year int64	month int64	rainy_season int64	distance_km float64	road_condition string	river_crossing_required int64	route_accessible int64	vehicle_type string	vehicle_available int64	fuel_available int64	driver_available int64	GPS_tracking int64	commodity_type string	cold_chain_required int64	quantity_ordered_units int64	quantity_packed_at_hub int64	hub_stockout_partial int64	delivery_attempted int64	delivery_completed int64	delivery_time_hours float64	scheduled_delivery_date_met int64	days_late int64	days_late_if_not_delivered int64	quantity_received int64	cold_chain_maintained int64	damaged_items int64	delay_cause_primary string	delivery_cost_usd float64	cost_per_unit_delivered float64	facility_stockout_due_to_delay int64	patients_affected_by_stockout int64	proof_of_delivery_documented int64	delivery_reported_in_LMIS int64
1	district_distribution	push_quarterly	DEL_0023	HUB_023	2,023	6	0	18.2	paved_good	0	1	public_transport	0	1	1	0	ARVs_HIV	0	217	132	1	1	1	1.1	0	4	0	121	0	2	driver_unavailable	179	1.48	0	0	0	0
2	district_distribution	push_quarterly	DEL_0214	HUB_023	2,023	3	1	5	paved_poor	0	1	public_transport	0	1	1	0	ACTs_antimalarials	0	128	74	1	0	0	0	0	0	26	0	0	0	paperwork_delay	156	0	0	0	0	1
3	district_distribution	push_quarterly	DEL_0192	HUB_025	2,024	11	1	18.2	unpaved_dirt	1	1	truck_4x4	1	0	0	0	medical_devices	0	56	28	1	0	0	0	0	0	32	0	0	0	bridge_washed_out	39	0	0	0	0	0
4	district_distribution	push_quarterly	DEL_0097	HUB_003	2,022	7	0	2.9	unpaved_gravel	0	1	motorcycle	0	1	1	0	vaccines_cold_chain	1	164	87	1	1	0	2.1	0	0	4	0	0	0	vehicle_breakdown	103	0	1	25	0	1
5	district_distribution	push_quarterly	DEL_0225	HUB_015	2,022	6	0	84	unpaved_gravel	0	1	bicycle	1	1	1	1	nutrition_RUTF	0	201	93	1	1	1	8	0	10	0	90	0	1	overloaded_schedule	160	1.78	0	0	1	1
6	district_distribution	push_quarterly	DEL_0174	HUB_024	2,022	7	0	44.5	unpaved_dirt	0	1	motorcycle	0	1	0	1	ARVs_HIV	0	14	11	1	0	0	0	0	0	8	0	0	0	vehicle_breakdown	63	0	1	22	0	1
7	district_distribution	push_quarterly	DEL_0153	HUB_018	2,021	2	0	43.8	unpaved_dirt	1	1	motorcycle	0	0	1	0	vaccines_cold_chain	1	150	80	1	0	0	0	0	0	47	0	0	0	overloaded_schedule	112	0	0	0	1	0
8	district_distribution	push_quarterly	DEL_0239	HUB_004	2,023	4	1	158.4	unpaved_dirt	1	1	none	0	1	1	0	ARVs_HIV	0	379	275	1	0	0	0	0	0	10	0	0	0	fuel_shortage	112	0	1	20	1	1
9	district_distribution	push_quarterly	DEL_0075	HUB_013	2,024	2	0	92.1	seasonal_track	0	1	motorcycle	1	0	0	0	essential_medicines	0	280	175	1	0	0	0	0	0	4	0	0	0	cold_chain_break_enroute	111	0	1	4	0	1
10	district_distribution	push_quarterly	DEL_0223	HUB_009	2,024	4	1	134.4	unpaved_gravel	1	1	truck_4x4	1	1	0	1	ACTs_antimalarials	0	203	84	1	0	0	0	0	0	52	0	0	0	budget_not_released	56	0	1	4	0	1
11	district_distribution	push_quarterly	DEL_0243	HUB_009	2,023	7	0	75	paved_poor	0	1	truck_4x4	0	1	1	1	ARVs_HIV	0	405	357	1	1	0	2.9	0	0	129	0	0	0	road_impassable_rain	178	0	0	0	0	1
12	district_distribution	push_quarterly	DEL_0166	HUB_010	2,023	7	0	53.6	unpaved_dirt	0	1	motorcycle	1	0	0	0	vaccines_cold_chain	1	205	89	1	0	0	0	0	0	1	0	0	0	hub_stockout	136	0	0	0	1	1
13	district_distribution	push_quarterly	DEL_0228	HUB_027	2,022	2	0	13	paved_good	1	1	truck_4x4	1	1	1	0	ARVs_HIV	0	173	105	1	1	0	3.9	0	0	2	0	0	0	vehicle_breakdown	255	0	1	4	1	1
14	district_distribution	push_quarterly	DEL_0071	HUB_001	2,023	5	1	4.8	unpaved_dirt	1	1	none	0	1	0	0	nutrition_RUTF	0	637	407	1	0	0	0	0	0	32	0	0	0	vehicle_breakdown	108	0	1	14	0	1
15	district_distribution	push_quarterly	DEL_0171	HUB_019	2,022	1	0	27.2	unpaved_gravel	0	1	motorcycle	1	1	1	0	vaccines_cold_chain	1	233	160	1	1	1	4.6	0	43	0	149	0	5	fuel_shortage	168	1.13	1	3	0	1
16	district_distribution	push_quarterly	DEL_0035	HUB_028	2,021	8	0	159.7	paved_good	0	1	truck_4x4	0	0	1	0	medical_devices	0	288	174	1	0	0	0	0	0	160	0	0	0	vehicle_breakdown	175	0	0	0	0	0
17	district_distribution	push_quarterly	DEL_0182	HUB_023	2,024	7	0	102.3	seasonal_track	1	1	truck_4x4	1	0	1	0	lab_reagents	1	26	16	1	1	1	3.5	1	0	0	15	1	15	not_applicable	114	7.6	0	0	0	0
18	district_distribution	push_quarterly	DEL_0123	HUB_028	2,024	12	0	31.6	unpaved_gravel	0	1	public_transport	0	1	1	0	lab_reagents	1	38	31	1	0	0	0	0	0	1	0	0	0	bridge_washed_out	43	0	1	42	1	1
19	district_distribution	push_quarterly	DEL_0129	HUB_027	2,024	7	0	27.9	unpaved_dirt	1	1	none	0	1	0	1	PPE_IPC	0	11	5	1	0	0	0	0	0	65	0	0	0	vehicle_breakdown	101	0	0	0	1	1
20	district_distribution	push_quarterly	DEL_0028	HUB_005	2,023	1	0	401	paved_poor	0	1	truck_4x4	0	0	0	0	PPE_IPC	0	16	7	1	1	0	15.5	0	0	35	0	0	0	vehicle_breakdown	49	0	1	22	0	0
21	district_distribution	push_quarterly	DEL_0187	HUB_018	2,021	1	0	8.3	seasonal_track	0	1	truck_4x4	1	1	0	0	medical_devices	0	677	439	1	0	0	0	0	0	97	0	0	0	fuel_shortage	49	0	0	0	0	0
22	district_distribution	push_quarterly	DEL_0154	HUB_005	2,023	2	0	29.2	unpaved_gravel	1	1	truck_4x4	1	1	1	0	lab_reagents	1	234	111	1	1	1	7	1	0	0	106	1	1	not_applicable	74	0.7	0	0	0	0
23	district_distribution	push_quarterly	DEL_0137	HUB_019	2,023	8	0	203.4	unpaved_gravel	0	1	bicycle	1	1	1	0	PPE_IPC	0	206	121	1	1	1	29.8	1	0	0	118	0	3	not_applicable	152	1.29	0	0	0	1
24	district_distribution	push_quarterly	DEL_0079	HUB_003	2,022	4	1	24.3	paved_poor	0	1	truck_4x4	0	0	1	0	lab_reagents	1	107	16	1	1	0	5.6	0	0	57	0	0	0	budget_not_released	106	0	0	0	1	1
25	district_distribution	push_quarterly	DEL_0189	HUB_016	2,022	9	0	16.7	no_road	0	1	none	0	1	1	0	essential_medicines	0	194	123	1	0	0	0	0	0	6	0	0	0	vehicle_breakdown	98	0	1	8	1	0
26	district_distribution	push_quarterly	DEL_0042	HUB_029	2,023	8	0	12.3	paved_poor	0	1	bicycle	0	1	0	0	essential_medicines	0	49	34	1	0	0	0	0	0	24	0	0	0	hub_stockout	134	0	0	0	0	0
27	district_distribution	push_quarterly	DEL_0076	HUB_018	2,024	5	1	9.4	unpaved_gravel	0	1	bicycle	1	1	1	0	essential_medicines	0	831	566	1	1	1	6.5	1	0	0	533	0	8	not_applicable	50	0.09	0	0	0	0
28	district_distribution	push_quarterly	DEL_0085	HUB_029	2,024	10	1	125	no_road	0	1	truck_4x4	0	1	1	0	nutrition_RUTF	0	840	535	1	1	0	9.6	0	0	17	0	0	0	road_impassable_rain	100	0	1	41	0	0
29	district_distribution	push_quarterly	DEL_0061	HUB_012	2,024	8	0	154.1	unpaved_dirt	0	1	on_foot	1	1	1	1	essential_medicines	0	227	87	1	1	0	23.5	0	0	16	0	0	0	cold_chain_break_enroute	132	0	1	3	0	1
30	district_distribution	push_quarterly	DEL_0022	HUB_028	2,023	7	0	6.3	unpaved_gravel	0	1	drone	1	1	0	0	PPE_IPC	0	132	40	1	0	0	0	0	0	19	0	0	0	overloaded_schedule	67	0	1	0	0	0
31	district_distribution	push_quarterly	DEL_0133	HUB_029	2,022	10	1	13	unpaved_gravel	0	1	public_transport	0	1	1	0	ACTs_antimalarials	0	69	58	1	0	0	0	0	0	6	0	0	0	road_impassable_rain	78	0	0	0	1	0
32	district_distribution	push_quarterly	DEL_0102	HUB_026	2,024	12	0	93	paved_poor	0	1	truck_2wd	1	0	1	0	FP_commodities	0	233	114	1	0	0	0	0	0	10	0	0	0	vehicle_breakdown	234	0	0	0	0	0
33	district_distribution	push_quarterly	DEL_0159	HUB_013	2,023	12	0	31.7	unpaved_dirt	0	1	public_transport	1	1	1	1	lab_reagents	1	705	456	1	1	1	1	0	1	0	443	1	0	hub_stockout	173	0.39	0	0	1	1
34	district_distribution	push_quarterly	DEL_0248	HUB_019	2,021	5	1	109.5	paved_poor	0	1	motorcycle	1	1	1	0	essential_medicines	0	95	39	1	1	1	10.4	0	9	0	37	0	0	bridge_washed_out	76	2.05	0	0	1	1
35	district_distribution	push_quarterly	DEL_0062	HUB_027	2,021	6	0	44.9	paved_poor	1	1	truck_4x4	0	1	1	1	essential_medicines	0	199	149	1	0	0	0	0	0	75	0	0	0	cold_chain_break_enroute	125	0	0	0	0	1
36	district_distribution	push_quarterly	DEL_0115	HUB_027	2,024	10	1	44.4	seasonal_track	0	1	none	0	1	0	0	medical_devices	0	202	159	1	0	0	0	0	0	10	0	0	0	road_impassable_rain	136	0	1	0	1	0
37	district_distribution	push_quarterly	DEL_0211	HUB_021	2,024	10	1	193.9	unpaved_gravel	1	1	truck_4x4	0	1	1	0	essential_medicines	0	10	8	1	0	0	0	0	0	10	0	0	0	overloaded_schedule	122	0	1	6	1	1
38	district_distribution	push_quarterly	DEL_0079	HUB_013	2,022	8	0	13.3	unpaved_dirt	1	1	motorcycle	1	0	1	0	FP_commodities	0	262	172	1	1	1	8.5	0	24	0	162	0	0	hub_stockout	96	0.59	1	16	1	0
39	district_distribution	push_quarterly	DEL_0117	HUB_005	2,024	4	1	7.1	seasonal_track	0	0	motorcycle	0	0	1	0	medical_devices	0	137	90	1	0	0	0	0	0	64	0	0	0	overloaded_schedule	77	0	1	10	0	1
40	district_distribution	push_quarterly	DEL_0045	HUB_007	2,022	12	0	25	seasonal_track	0	1	truck_2wd	0	1	1	0	nutrition_RUTF	0	345	254	1	0	0	0	0	0	13	0	0	0	vehicle_breakdown	136	0	0	0	1	0
41	district_distribution	push_quarterly	DEL_0182	HUB_008	2,021	6	0	110	paved_poor	0	1	truck_4x4	0	1	1	1	ACTs_antimalarials	0	337	205	1	0	0	0	0	0	18	0	0	0	fuel_shortage	109	0	0	0	0	0
42	district_distribution	push_quarterly	DEL_0188	HUB_004	2,024	12	0	51.5	paved_good	1	1	truck_2wd	0	1	0	0	FP_commodities	0	75	45	1	0	0	0	0	0	7	0	0	0	hub_stockout	79	0	1	13	1	0
43	district_distribution	push_quarterly	DEL_0008	HUB_023	2,022	8	0	26.3	seasonal_track	1	1	truck_2wd	0	1	1	0	vaccines_cold_chain	1	156	120	1	1	1	4.7	1	0	0	120	1	7	not_applicable	93	0.78	0	0	0	0
44	district_distribution	push_quarterly	DEL_0235	HUB_014	2,023	7	0	60.1	paved_good	1	1	none	0	1	0	0	FP_commodities	0	62	36	1	0	0	0	0	0	9	0	0	0	overloaded_schedule	163	0	0	0	0	0
45	district_distribution	push_quarterly	DEL_0132	HUB_016	2,022	11	1	51.7	unpaved_dirt	0	1	truck_4x4	0	1	1	0	medical_devices	0	253	151	1	1	1	20	1	0	0	143	0	0	not_applicable	108	0.76	0	0	1	0
46	district_distribution	push_quarterly	DEL_0247	HUB_024	2,022	2	0	34.2	unpaved_gravel	0	1	truck_2wd	0	1	0	0	ACTs_antimalarials	0	523	193	1	0	0	0	0	0	8	0	0	0	cold_chain_break_enroute	150	0	1	45	0	0
47	district_distribution	push_quarterly	DEL_0113	HUB_016	2,023	3	1	34.4	unpaved_gravel	0	1	motorcycle	0	0	1	0	ARVs_HIV	0	77	37	1	0	0	0	0	0	32	0	0	0	road_impassable_rain	152	0	0	0	0	1
48	district_distribution	push_quarterly	DEL_0076	HUB_026	2,022	4	1	80.7	seasonal_track	0	1	truck_4x4	1	1	1	0	nutrition_RUTF	0	110	76	1	1	0	7.5	0	0	29	0	0	0	fuel_shortage	120	0	1	16	1	0
49	district_distribution	push_quarterly	DEL_0136	HUB_001	2,023	9	0	113.9	unpaved_gravel	0	1	none	0	1	1	0	lab_reagents	1	265	124	1	1	0	8.6	0	0	28	0	0	0	budget_not_released	110	0	0	0	0	0
50	district_distribution	push_quarterly	DEL_0218	HUB_021	2,023	3	1	55.4	paved_poor	0	1	motorcycle	1	0	0	0	essential_medicines	0	99	66	1	0	0	0	0	0	31	0	0	0	vehicle_breakdown	109	0	0	0	1	1
51	district_distribution	push_quarterly	DEL_0007	HUB_013	2,023	11	1	199.9	paved_good	1	1	public_transport	1	1	0	0	essential_medicines	0	430	300	1	0	0	0	0	0	12	0	0	0	hub_stockout	158	0	0	0	0	0
52	district_distribution	push_quarterly	DEL_0233	HUB_001	2,021	7	0	25.4	unpaved_gravel	0	1	truck_4x4	0	1	0	0	PPE_IPC	0	224	162	1	1	0	2.5	0	0	64	0	0	0	vehicle_breakdown	124	0	1	1	0	1
53	district_distribution	push_quarterly	DEL_0127	HUB_002	2,021	2	0	113.6	paved_good	0	1	on_foot	1	1	1	0	PPE_IPC	0	144	71	1	1	1	11.1	0	6	0	67	0	4	bridge_washed_out	9	0.13	0	0	1	1
54	district_distribution	push_quarterly	DEL_0109	HUB_019	2,021	10	1	2	paved_poor	0	1	on_foot	1	1	0	1	lab_reagents	1	259	159	1	1	0	18.3	0	0	9	0	0	0	fuel_shortage	103	0	1	26	0	0
55	district_distribution	push_quarterly	DEL_0096	HUB_025	2,024	6	0	12.3	unpaved_dirt	0	1	truck_2wd	1	0	0	0	ARVs_HIV	0	109	72	1	1	0	1	0	0	1	0	0	0	vehicle_breakdown	105	0	0	0	1	0
56	district_distribution	push_quarterly	DEL_0007	HUB_003	2,023	6	0	221.9	paved_good	0	1	motorcycle	1	0	1	1	vaccines_cold_chain	1	193	127	1	0	0	0	0	0	34	0	0	0	driver_unavailable	86	0	1	6	1	0
57	district_distribution	push_quarterly	DEL_0105	HUB_006	2,024	1	0	6.1	paved_good	1	1	bicycle	1	1	0	0	PPE_IPC	0	345	247	1	0	0	0	0	0	41	0	0	0	driver_unavailable	92	0	0	0	0	1
58	district_distribution	push_quarterly	DEL_0232	HUB_024	2,023	12	0	279.1	no_road	0	1	motorcycle	1	1	1	1	PPE_IPC	0	273	232	1	1	1	1.7	0	9	0	232	0	2	bridge_washed_out	193	0.83	0	0	0	0
59	district_distribution	push_quarterly	DEL_0088	HUB_017	2,022	12	0	103.4	paved_good	0	1	public_transport	1	1	1	0	medical_devices	0	79	37	1	1	0	1	0	0	38	0	0	0	road_impassable_rain	190	0	1	2	1	1
60	district_distribution	push_quarterly	DEL_0087	HUB_028	2,023	9	0	2.4	unpaved_dirt	0	1	motorcycle	0	1	0	0	PPE_IPC	0	247	178	1	0	0	0	0	0	21	0	0	0	budget_not_released	18	0	1	25	0	0
61	district_distribution	push_quarterly	DEL_0213	HUB_006	2,023	12	0	38.3	paved_good	0	1	motorcycle	0	0	0	0	ARVs_HIV	0	113	47	1	1	1	6.4	0	1	0	44	0	5	vehicle_breakdown	93	2.11	0	0	1	0
62	district_distribution	push_quarterly	DEL_0219	HUB_004	2,023	1	0	14.1	paved_poor	1	1	truck_4x4	1	1	0	0	PPE_IPC	0	396	265	1	0	0	0	0	0	14	0	0	0	paperwork_delay	82	0	1	0	0	0
63	district_distribution	push_quarterly	DEL_0120	HUB_028	2,021	3	1	24.1	seasonal_track	1	1	on_foot	1	1	1	0	essential_medicines	0	78	40	1	1	1	12.1	1	0	0	36	0	12	not_applicable	102	2.83	0	0	1	0
64	district_distribution	push_quarterly	DEL_0176	HUB_006	2,024	2	0	16.4	unpaved_dirt	0	1	on_foot	0	1	1	0	FP_commodities	0	104	66	1	1	0	26.8	0	0	29	0	0	0	driver_unavailable	36	0	1	4	1	0
65	district_distribution	push_quarterly	DEL_0181	HUB_013	2,024	11	1	2	paved_poor	0	1	none	0	1	1	0	nutrition_RUTF	0	86	47	1	0	0	0	0	0	7	0	0	0	vehicle_breakdown	153	0	0	0	0	0
66	district_distribution	push_quarterly	DEL_0153	HUB_024	2,024	3	1	49.8	seasonal_track	0	0	truck_4x4	1	1	0	0	medical_devices	0	231	152	1	0	0	0	0	0	53	0	0	0	paperwork_delay	160	0	1	10	1	0
67	district_distribution	push_quarterly	DEL_0190	HUB_006	2,021	8	0	37.5	unpaved_gravel	0	1	none	0	1	1	0	essential_medicines	0	585	477	1	0	0	0	0	0	1	0	0	0	flooding_seasonal	193	0	0	0	0	1
68	district_distribution	push_quarterly	DEL_0124	HUB_024	2,023	10	1	227.7	unpaved_gravel	0	1	none	0	1	1	0	lab_reagents	1	263	124	1	0	0	0	0	0	29	0	0	0	hub_stockout	58	0	1	2	0	1
69	district_distribution	push_quarterly	DEL_0097	HUB_006	2,023	2	0	237.5	paved_poor	1	1	none	0	1	1	0	FP_commodities	0	80	51	1	1	1	2.6	0	4	0	48	0	2	hub_stockout	69	1.44	0	0	1	0
70	district_distribution	push_quarterly	DEL_0187	HUB_007	2,024	10	1	96.7	unpaved_gravel	0	1	truck_2wd	1	1	1	0	vaccines_cold_chain	1	249	224	1	1	1	3.1	1	0	0	206	1	1	not_applicable	86	0.42	0	0	0	0
71	district_distribution	push_quarterly	DEL_0006	HUB_026	2,024	6	0	144.9	seasonal_track	0	1	motorcycle	1	1	1	0	ARVs_HIV	0	191	142	1	1	0	1.6	0	0	27	0	0	0	budget_not_released	39	0	0	0	0	0
72	district_distribution	push_quarterly	DEL_0153	HUB_005	2,023	4	1	23	unpaved_dirt	0	1	truck_2wd	0	1	1	0	essential_medicines	0	735	400	1	1	0	1.8	0	0	10	0	0	0	cold_chain_break_enroute	113	0	0	0	1	0
73	district_distribution	push_quarterly	DEL_0249	HUB_024	2,022	12	0	93.3	paved_poor	0	1	motorcycle	1	0	0	0	PPE_IPC	0	64	38	1	1	1	1	0	3	0	36	0	4	driver_unavailable	165	4.58	0	0	1	0
74	district_distribution	push_quarterly	DEL_0069	HUB_013	2,024	6	0	58.8	unpaved_dirt	0	1	motorcycle	1	0	1	0	medical_devices	0	59	46	1	0	0	0	0	0	11	0	0	0	bridge_washed_out	144	0	0	0	0	0
75	district_distribution	push_quarterly	DEL_0159	HUB_008	2,022	2	0	2	seasonal_track	0	1	truck_2wd	0	1	1	0	lab_reagents	1	89	69	1	1	0	5.7	0	0	3	0	0	0	road_impassable_rain	172	0	1	12	0	1
76	district_distribution	push_quarterly	DEL_0064	HUB_004	2,024	10	1	120.5	unpaved_gravel	0	1	motorcycle	0	0	0	0	essential_medicines	0	71	43	1	1	1	60	0	1	0	40	0	7	vehicle_breakdown	139	3.48	0	0	0	0
77	district_distribution	push_quarterly	DEL_0203	HUB_027	2,024	5	1	27.6	unpaved_gravel	0	1	truck_4x4	1	0	1	0	ARVs_HIV	0	165	102	1	0	0	0	0	0	98	0	0	0	driver_unavailable	167	0	0	0	0	1
78	district_distribution	push_quarterly	DEL_0088	HUB_014	2,024	3	1	24.8	unpaved_gravel	1	1	truck_2wd	0	1	1	0	essential_medicines	0	116	66	1	1	0	13.9	0	0	15	0	0	0	hub_stockout	98	0	1	5	1	0
79	district_distribution	push_quarterly	DEL_0111	HUB_021	2,023	5	1	34.7	unpaved_gravel	0	1	bicycle	1	1	0	0	ARVs_HIV	0	202	117	1	1	0	9.3	0	0	13	0	0	0	vehicle_breakdown	56	0	1	4	1	0
80	district_distribution	push_quarterly	DEL_0186	HUB_003	2,021	1	0	126.8	unpaved_gravel	0	1	bicycle	0	1	0	0	blood_products	1	338	249	1	0	0	0	0	0	6	0	0	0	budget_not_released	125	0	1	11	0	1
81	district_distribution	push_quarterly	DEL_0238	HUB_020	2,024	11	1	27.8	paved_poor	0	1	boat_canoe	0	1	1	0	vaccines_cold_chain	1	121	103	1	0	0	0	0	0	41	0	0	0	vehicle_breakdown	64	0	0	0	0	1
82	district_distribution	push_quarterly	DEL_0020	HUB_022	2,023	6	0	26.7	paved_poor	0	1	public_transport	1	1	0	0	medical_devices	0	227	194	1	0	0	0	0	0	27	0	0	0	hub_stockout	130	0	0	0	0	1
83	district_distribution	push_quarterly	DEL_0103	HUB_015	2,023	7	0	54.4	unpaved_gravel	0	1	motorcycle	1	1	1	1	ACTs_antimalarials	0	797	256	1	1	1	2.5	1	0	0	247	0	1	not_applicable	141	0.57	0	0	0	0
84	district_distribution	push_quarterly	DEL_0230	HUB_009	2,022	10	1	27.7	unpaved_gravel	0	1	on_foot	0	1	1	0	vaccines_cold_chain	1	60	31	1	1	0	23.1	0	0	49	0	0	0	overloaded_schedule	157	0	1	16	0	1
85	district_distribution	push_quarterly	DEL_0234	HUB_013	2,024	6	0	38.5	unpaved_dirt	0	1	truck_2wd	0	1	1	0	ARVs_HIV	0	166	77	1	0	0	0	0	0	10	0	0	0	vehicle_breakdown	48	0	1	5	0	0
86	district_distribution	push_quarterly	DEL_0246	HUB_006	2,022	1	0	27.3	unpaved_dirt	0	1	truck_4x4	1	1	1	0	essential_medicines	0	290	202	1	1	1	1	0	16	0	190	0	1	hub_stockout	131	0.69	1	51	0	0
87	district_distribution	push_quarterly	DEL_0239	HUB_028	2,023	7	0	62.7	unpaved_gravel	0	1	truck_4x4	1	0	1	0	lab_reagents	1	85	53	1	1	0	2.2	0	0	55	0	0	0	paperwork_delay	17	0	1	12	0	0
88	district_distribution	push_quarterly	DEL_0075	HUB_003	2,024	3	1	138.8	paved_poor	0	1	truck_4x4	0	0	1	0	nutrition_RUTF	0	578	279	1	0	0	0	0	0	23	0	0	0	paperwork_delay	0	0	1	3	1	0
89	district_distribution	push_quarterly	DEL_0177	HUB_003	2,024	3	1	33.8	unpaved_gravel	0	1	none	0	1	1	0	vaccines_cold_chain	1	121	56	1	1	1	5.1	1	0	0	55	1	11	not_applicable	125	2.27	0	0	0	0
90	district_distribution	push_quarterly	DEL_0212	HUB_016	2,021	2	0	67.8	paved_poor	1	1	motorcycle	0	1	1	0	FP_commodities	0	391	287	1	1	0	1.1	0	0	52	0	0	0	hub_stockout	107	0	1	7	1	1
91	district_distribution	push_quarterly	DEL_0114	HUB_005	2,023	9	0	24.9	paved_poor	1	1	bicycle	1	1	0	1	essential_medicines	0	154	103	1	0	0	0	0	0	33	0	0	0	driver_unavailable	108	0	0	0	1	0
92	district_distribution	push_quarterly	DEL_0104	HUB_022	2,023	5	1	5.2	unpaved_dirt	0	1	truck_4x4	0	0	1	0	lab_reagents	1	132	123	1	0	0	0	0	0	17	0	0	0	vehicle_breakdown	53	0	0	0	1	0
93	district_distribution	push_quarterly	DEL_0026	HUB_025	2,022	1	0	127.6	unpaved_gravel	1	1	truck_4x4	0	1	1	1	ACTs_antimalarials	0	327	196	1	1	1	3.1	0	17	0	182	0	7	hub_stockout	183	1.01	1	14	1	1
94	district_distribution	push_quarterly	DEL_0120	HUB_017	2,023	3	1	39.9	unpaved_dirt	0	1	motorcycle	1	0	1	0	PPE_IPC	0	328	221	1	1	1	1.7	0	1	0	191	0	10	cold_chain_break_enroute	96	0.5	0	0	0	0
95	district_distribution	push_quarterly	DEL_0104	HUB_021	2,024	6	0	10.6	unpaved_gravel	0	1	truck_4x4	0	1	0	0	essential_medicines	0	51	15	1	0	0	0	0	0	1	0	0	0	fuel_shortage	58	0	1	9	1	1
96	district_distribution	push_quarterly	DEL_0086	HUB_010	2,021	2	0	32.4	unpaved_dirt	0	1	none	0	1	1	0	medical_devices	0	479	332	1	1	1	5.4	0	14	0	323	0	1	budget_not_released	38	0.12	0	0	0	1
97	district_distribution	push_quarterly	DEL_0167	HUB_023	2,024	10	1	227.5	paved_good	0	1	motorcycle	1	1	1	0	ACTs_antimalarials	0	561	345	1	1	0	3.6	0	0	27	0	0	0	hub_stockout	81	0	1	17	1	1
98	district_distribution	push_quarterly	DEL_0151	HUB_018	2,023	7	0	23.7	paved_poor	0	1	public_transport	0	1	0	1	FP_commodities	0	18	11	1	0	0	0	0	0	10	0	0	0	overloaded_schedule	250	0	0	0	0	1
99	district_distribution	push_quarterly	DEL_0084	HUB_018	2,024	1	0	10.2	paved_poor	0	1	truck_4x4	0	0	1	0	FP_commodities	0	27	13	1	0	0	0	0	0	28	0	0	0	hub_stockout	149	0	1	3	0	0
100	district_distribution	push_quarterly	DEL_0017	HUB_010	2,022	4	1	139.3	unpaved_gravel	0	1	none	0	1	0	1	essential_medicines	0	103	94	1	0	0	0	0	0	2	0	0	0	wrong_items_packed	36	0	0	0	1	1

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Last-Mile Distribution & Transport Dataset

Abstract

This dataset provides 30,000 simulated delivery event observations (10,000 per scenario) of health commodity last-mile distribution across three delivery models in sub-Saharan Africa. Each record represents one scheduled or attempted delivery from a distribution hub to a health facility during one monthly period. The dataset captures 45+ variables spanning route characteristics, vehicle and transport availability, commodity type and quantity, delivery execution and timeliness, cold chain maintenance during transport, delay root causes, delivery cost, and downstream facility stockout impact. Three scenarios model the distribution gradient: urban hub delivery (65% completion, 49% on-time), district distribution (28%, 13%), and rural last-mile (11%, 2%).

This dataset is entirely simulated. It must not be used for operational logistics decisions.

1. Introduction

1.1 The Last-Mile Challenge

The "last mile" of health commodity distribution — the final segment from a district warehouse or hub to the point of care — is widely recognised as the weakest link in sub-Saharan Africa's health supply chain. While national and regional warehousing has improved through investments by USAID's Global Health Supply Chain Program (GHSC-PSM) and the Global Fund, the physical delivery of commodities to peripheral health facilities remains chronically unreliable.

1.2 Scale of the Problem

GHSC-PSM documented persistent last-mile challenges in delivering commodities to over 320 PEPFAR-supported health facilities, citing poor road infrastructure, insufficient vehicle fleets, and irregular delivery schedules as primary barriers (GHSC-PSM, 2023). In Rwanda, the Reach Alliance documented that 25–40% of all temperature-sensitive medical supplies were wasted due to inconsistent cold-chain infrastructure and last-mile delivery failures, with rural clinics facing chronic stockouts (Reach Alliance, Rwanda).

1.3 Infrastructure Barriers

Sub-Saharan Africa's road network presents formidable obstacles. Many rural health facilities are accessible only by seasonal dirt tracks that become impassable during rainy seasons. River crossings without bridges, fuel shortages, vehicle breakdowns, and driver unavailability compound the challenge. The distribution model itself varies: some countries use "push" systems (centrally scheduled deliveries) while others use "pull" systems (facility-initiated orders). Countries with dedicated funding for distribution report significantly better last-mile outcomes (GHSC-PSM, 2020).

1.4 Innovation: Drones and Alternative Transport

Zipline International has pioneered medical drone delivery in Rwanda and Ghana, delivering blood products, vaccines, COVID-19 vaccines, PPE, and family planning commodities to thousands of remote health facilities (Think Global Health; Zipline). The Ghana operation has been described as the world's largest drone delivery service for health commodities. However, drone coverage remains limited to a small fraction of SSA's health facilities.

1.5 Patient Impact

Delivery failures translate directly to facility-level stockouts. When essential medicines, vaccines, blood products, or ARVs fail to arrive, patients are turned away, treatments are interrupted, and preventable deaths occur. The downstream impact is most severe at rural health posts where alternative sourcing options are non-existent.

1.6 Rationale

No open dataset captures the multi-dimensional nature of last-mile health commodity distribution: route conditions, vehicle availability, delivery execution, cold chain maintenance during transport, cost, and patient impact. This simulated dataset enables logistics modelling, route optimisation research, and evidence-based investment in distribution infrastructure.

2. Methodology

2.1 Epidemiological Parameterization

Parameter	Urban Hub	District	Rural Last-Mile	Source
Delivery completed	65%	28%	11%	GHSC-PSM data
On-time delivery	49%	13%	2%	GHSC-PSM data
Mean distance	25 km	65 km	141 km	Geographic analysis
Vehicle available	68%	38%	17%	Fleet assessments
Cold chain maintained	53%	13%	2%	Reach Alliance: 25-40% waste
Facility stockout from delay	11%	43%	71%	Literature
Mean delivery cost	$45	$120	$250	GHSC-PSM cost analysis

2.2 Scenario Design

Scenario A — Urban Hub Delivery: Regional/national warehouse to urban hospitals. Paved roads, short distances, dedicated fleet with GPS tracking, pull-based scheduling. Analogous to Nairobi, Dar es Salaam, Kampala, Addis Ababa.

Scenario B — District Distribution: District hub to district hospitals and health centres. Mixed road quality, shared vehicles, push-based quarterly scheduling, moderate distances. Analogous to district-level distribution in Uganda, Malawi, Mozambique, Rwanda.

Scenario C — Rural Last-Mile: District to remote rural health posts. Unpaved/seasonal roads, motorcycle/bicycle/foot transport, push-based irregular delivery, long distances, seasonal inaccessibility. Analogous to rural DRC, South Sudan, Niger, northern Mozambique.

3. Schema

3.1 Delivery Context

Column	Type	Description
delivery_model	categorical	pull_scheduled / push_quarterly / push_irregular
facility_id	string	Destination facility identifier
hub_id	string	Source distribution hub
year / month	int	Delivery period
rainy_season	binary	Rainy season month

3.2 Route Characteristics

Column	Type	Description
distance_km	float	Hub-to-facility distance
road_condition	categorical	paved_good / paved_poor / unpaved_gravel / unpaved_dirt / seasonal_track / no_road
river_crossing_required	binary	Route requires river crossing
route_accessible	binary	Route passable at time of delivery

3.3 Vehicle & Transport

Column	Type	Description
vehicle_type	categorical	truck_4x4 / truck_2wd / motorcycle / bicycle / drone / boat / public_transport / on_foot / none
vehicle_available	binary	Assigned vehicle available
fuel_available	binary	Fuel available for motorised transport
driver_available	binary	Driver/rider available
GPS_tracking	binary	Vehicle has GPS tracking

3.4 Commodity

Column	Type	Description
commodity_type	categorical	10 health commodity categories
cold_chain_required	binary	Temperature-sensitive commodity
quantity_ordered_units	int	Quantity requested by facility
quantity_packed_at_hub	int	Quantity packed for delivery
hub_stockout_partial	binary	Hub could not fill complete order

3.5 Delivery Execution

Column	Type	Description
delivery_attempted	binary	Delivery was attempted
delivery_completed	binary	Delivery reached facility
delivery_time_hours	float	Transport duration
scheduled_delivery_date_met	binary	Arrived on schedule
days_late	int	Days behind schedule
delay_cause_primary	categorical	13 root cause categories

3.6 Quality on Arrival

Column	Type	Description
quantity_received	int	Quantity actually received at facility
cold_chain_maintained	binary	Temperature maintained during transport
damaged_items	int	Items damaged during transport
items_expired_on_arrival	int	Expired items in delivery

3.7 Cost & Impact

Column	Type	Description
delivery_cost_usd	float	Total delivery cost
cost_per_unit_delivered	float	Cost efficiency metric
facility_stockout_due_to_delay	binary	Facility experienced stockout
patients_affected_by_stockout	int	Patients impacted
proof_of_delivery_documented	binary	PoD recorded
delivery_reported_in_LMIS	binary	Reported in logistics system

4. Validation

Validation Report

4.1 Key Validation Results

Metric	Urban Hub	District	Rural	Target
Delivery completed	65%	28%	11%	Gradient confirmed
On-time	49%	13%	2%	Gradient confirmed
Vehicle available	68%	38%	17%	Fleet data
Cold chain maintained	53%	13%	2%	25-40% waste [2]
Stockout from delay	11%	43%	71%	Literature

5. Usage

from datasets import load_dataset

dataset = load_dataset(
    "electricsheepafrica/lastmile-distribution-transport",
    "district_distribution"
)
df = dataset["train"].to_pandas()

# Analyse delivery success by road condition
success = df.groupby('road_condition')['delivery_completed'].mean()
print(success.sort_values())

6. Limitations

Simulated: Not from real distribution management systems.
No spatial modelling: Routes are characterised by distance and road type, not geolocated.
No fleet scheduling: Records are independent; fleet utilisation and scheduling conflicts are not modelled.
No seasonal dynamics: Rainy season is binary rather than a continuous precipitation model.
No drone scale-up: Drone deliveries appear at realistic but very low rates.

7. References

GHSC-PSM / USAID (2023). Last mile delivery to 320 PEPFAR-supported health facilities.
Reach Alliance (Rwanda). Zipline's impact on health outcomes. 25-40% temperature-sensitive supplies wasted.
Think Global Health. Drones deliver humanitarian aid in Africa. Zipline in Ghana and Rwanda.
GHSC-PSM (2020). Countries with distribution funding report more success.
Health Systems & Reform (2019). Root causes of stockouts: procurement, forecasting, distribution delays.
WHO / UNICEF. Supply chain challenges in SSA: vehicle fleet, road conditions, seasonal disruptions.
Zipline / WEF (2019). World's largest drone delivery service for health commodities in Ghana.

Citation

@dataset{esa_lastmile_distribution_2025,
  title   = {Last-Mile Distribution and Transport Dataset: Delivery
             Performance, Vehicle Fleet, Road Conditions, and Patient
             Impact Across Three Distribution Models in Sub-Saharan Africa},
  author  = {{Electric Sheep Africa}},
  year    = {2025},
  publisher = {Hugging Face},
  url     = {https://huggingface.co/datasets/electricsheepafrica/lastmile-distribution-transport},
  note    = {Simulated dataset. Not for operational logistics decisions.}
}

License

CC-BY-4.0

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