Datasets:

electricsheepafrica
/

africa-synth-streaming-consumption-all

record_id int64 1 30k	country stringclasses 12 values	year int64 2.02k 2.03k	quarter stringclasses 4 values	platform stringclasses 8 values	content_type stringclasses 4 values	subscriber_count_millions float64 0.01 0.47	monthly_active_users_millions float64 0.05 1.28	avg_hours_per_user float64 1.8 43.1	local_content_share_pct float64 4.1 95	revenue_usd_millions float64 0.01 13.2	arpu_usd float64 0.32 30.2	churn_rate_pct float64 1.7 16.5	mobile_streaming_pct float64 21 96.1	data_consumption_gb_per_user float64 0.1 41.3	content_language stringclasses 6 values	genre_preference stringclasses 19 values	payment_method stringclasses 3 values
1	Tanzania	2,023	Q1	youtube	series	0.01	0.145	7.3	36.5	0.01	0.72	3.8	40.6	4.54	english	documentary	mobile_money
2	Tanzania	2,025	Q4	apple_music	music	0.011	0.05	6.5	33.5	0.02	2.01	9.9	36.9	0.43	swahili	amapiano	mobile_money
3	Rwanda	2,022	Q3	iroko	series	0.01	0.05	15.6	18.6	0.01	0.94	13.6	43.8	7.57	hausa	documentary	bundle
4	DR Congo	2,023	Q3	audiomack	podcasts	0.02	0.05	10	6.2	0.01	0.57	6	27.3	6.27	french	comedy	bundle
5	Rwanda	2,025	Q3	boomplay	music	0.01	0.05	11.4	26.1	0.01	0.61	6.2	47.1	1.07	swahili	hip_hop	card
6	Senegal	2,022	Q2	netflix	series	0.015	0.05	9.7	20	0.07	5.15	9.8	50.9	4.51	local	reality	card
7	Kenya	2,023	Q3	boomplay	music	0.056	0.116	3.7	42.1	0.16	2.67	4	52.5	0.92	swahili	r&b	bundle
8	Côte d'Ivoire	2,023	Q1	youtube	series	0.01	0.156	6.8	16	0.02	1.68	2.8	40.8	4.72	french	comedy	mobile_money
9	Kenya	2,022	Q3	youtube	podcasts	0.011	0.246	6.8	52.7	0.01	1.13	3.8	54.7	2.71	english	entertainment	card
10	Uganda	2,025	Q3	youtube	podcasts	0.01	0.081	5.7	14.1	0.01	0.69	4.1	31.8	3.04	swahili	entertainment	bundle
11	DR Congo	2,024	Q1	boomplay	music	0.025	0.05	16	6.3	0.02	0.61	7.5	23.9	0.9	french	afrobeats	bundle
12	Ethiopia	2,022	Q4	youtube	movies	0.01	0.153	14.1	24	0.01	0.91	3.8	35.9	3.92	local	comedy	bundle
13	Côte d'Ivoire	2,022	Q1	boomplay	music	0.016	0.079	9.2	35.1	0.04	2.44	5.8	38.6	1.22	local	r&b	card
14	South Africa	2,022	Q4	showmax	movies	0.076	0.114	11.4	47.2	1.06	13.06	5.7	66.6	2.84	local	action	mobile_money
15	Uganda	2,023	Q4	netflix	movies	0.015	0.05	6.6	16.3	0.05	3.13	8.3	39.7	2.64	swahili	action	mobile_money
16	DR Congo	2,022	Q2	netflix	movies	0.03	0.05	7	9.7	0.09	2.59	8.1	21.1	4.71	local	romance	bundle
17	DR Congo	2,022	Q2	youtube	series	0.01	0.074	9.9	6	0.01	0.33	2.7	26.2	8.07	french	documentary	mobile_money
18	South Africa	2,022	Q3	showmax	series	0.096	0.161	8.3	61.8	1.36	16.7	5.4	67.8	1.92	english	reality	card
19	Ghana	2,025	Q1	youtube	movies	0.01	0.152	9.9	34.4	0.02	1.69	2	36.7	5.63	english	action	mobile_money
20	DR Congo	2,025	Q1	spotify	podcasts	0.019	0.05	6.6	13.8	0.02	1.36	10	25.1	4.2	french	sports	mobile_money
21	Ethiopia	2,024	Q3	netflix	movies	0.065	0.053	6.5	36.5	0.24	3.59	7.5	27.8	3.76	english	drama	bundle
22	Uganda	2,025	Q1	youtube	movies	0.01	0.054	9.2	9.8	0.01	0.83	3.3	32.3	2.08	swahili	action	mobile_money
23	South Africa	2,024	Q1	netflix	movies	0.189	0.205	4	24.8	5.18	26.56	6.5	81.8	2.28	english	romance	card
24	Ghana	2,023	Q3	boomplay	music	0.032	0.077	8.6	24.4	0.07	2.54	5.6	40.3	1.06	english	afrobeats	card
25	Tanzania	2,023	Q1	youtube	podcasts	0.01	0.135	16	57.3	0.01	0.77	2.7	36	5.33	swahili	business	card
26	Tanzania	2,022	Q1	netflix	series	0.022	0.054	15.6	34.8	0.13	5.34	11.2	39.6	4.29	swahili	documentary	mobile_money
27	Uganda	2,024	Q2	netflix	movies	0.023	0.05	5.1	6.8	0.06	2.36	9.1	37.7	4.05	english	horror	mobile_money
28	Rwanda	2,024	Q4	boomplay	music	0.01	0.05	4.3	23.2	0.01	0.78	5.7	45.9	0.56	swahili	afrobeats	card
29	Tanzania	2,023	Q4	netflix	movies	0.035	0.05	12.3	26.7	0.19	5.1	10.1	32.2	3.28	english	romance	mobile_money
30	DR Congo	2,024	Q1	spotify	podcasts	0.021	0.05	22.5	10	0.02	0.91	10	23.7	7.47	french	entertainment	mobile_money
31	Uganda	2,024	Q4	youtube	music	0.01	0.081	18.5	7.7	0.01	0.87	3.8	33.3	8.02	english	r&b	card
32	DR Congo	2,023	Q4	netflix	movies	0.015	0.05	20.5	18.6	0.04	2.67	10.5	27.7	15.99	french	horror	bundle
33	Ghana	2,024	Q3	netflix	movies	0.02	0.05	8.9	15.3	0.18	7.82	6.7	46.3	4.71	local	drama	mobile_money
34	Rwanda	2,022	Q1	netflix	movies	0.01	0.05	16.5	30.5	0.02	2.12	8.4	47	10.32	english	action	card
35	Senegal	2,024	Q2	spotify	podcasts	0.01	0.05	7.6	27	0.04	3.48	7.8	45.1	1.17	local	business	card
36	Ghana	2,025	Q1	youtube	movies	0.01	0.109	12	18.7	0.02	2.2	3	40.7	8.06	local	comedy	bundle
37	Tanzania	2,024	Q4	youtube	movies	0.01	0.13	11.8	40.8	0.01	0.69	3	42.2	4.82	english	action	bundle
38	Ghana	2,024	Q1	youtube	movies	0.01	0.161	5.4	24.6	0.02	2.27	2.7	40.1	3.99	english	horror	bundle
39	Rwanda	2,025	Q3	audiomack	music	0.01	0.05	20.1	33.9	0.01	0.81	4.4	44.3	0.89	swahili	bongo_flava	card
40	DR Congo	2,024	Q3	youtube	podcasts	0.01	0.124	4.8	17	0.01	0.34	3.8	22.3	2.57	french	sports	bundle
41	Rwanda	2,022	Q2	youtube	podcasts	0.01	0.05	16.8	35.4	0.01	0.7	3.1	45.2	3.72	english	sports	mobile_money
42	Tanzania	2,022	Q4	boomplay	music	0.029	0.091	15.2	25.3	0.03	1.11	4.2	42.1	3.36	swahili	bongo_flava	mobile_money
43	Rwanda	2,023	Q1	youtube	podcasts	0.01	0.05	15.1	22.6	0.01	0.72	4.5	51.6	12.09	swahili	entertainment	bundle
44	Côte d'Ivoire	2,022	Q4	spotify	music	0.025	0.062	18.3	19.6	0.15	5.46	8.1	42	3.73	french	r&b	mobile_money
45	Tanzania	2,022	Q4	youtube	movies	0.01	0.118	21.6	37	0.01	0.65	2.7	37	9.07	swahili	comedy	card
46	Kenya	2,024	Q2	spotify	music	0.032	0.087	7	43.2	0.14	3.92	6.5	47.2	1.38	swahili	amapiano	card
47	Kenya	2,022	Q2	spotify	podcasts	0.048	0.077	8.3	22.4	0.2	4.06	8.1	50.7	2.66	swahili	business	mobile_money
48	Uganda	2,024	Q3	boomplay	music	0.02	0.05	13.7	13.4	0.02	1.07	6	30.6	1.38	swahili	gospel	card
49	Senegal	2,022	Q1	youtube	music	0.01	0.05	15.3	22.9	0.01	1.01	4	51.6	10.58	local	hip_hop	card
50	Cameroon	2,024	Q3	netflix	movies	0.011	0.05	7.9	24.2	0.08	7.33	7.4	33.7	3.19	english	romance	card
51	Ethiopia	2,024	Q1	youtube	series	0.014	0.214	5.9	34	0.01	0.68	3.5	31.7	2.27	local	comedy	bundle
52	Nigeria	2,022	Q1	iroko	series	0.057	0.122	13.8	67.5	0.16	3.29	11.9	35.4	2.71	english	documentary	mobile_money
53	Senegal	2,025	Q2	youtube	podcasts	0.01	0.051	3.8	31.5	0.02	1.44	2.7	50.5	1.93	local	comedy	card
54	Ghana	2,025	Q3	boomplay	music	0.037	0.092	11	17.6	0.06	1.78	4.8	41.9	1.8	english	afrobeats	card
55	Rwanda	2,023	Q3	iroko	movies	0.01	0.05	19.1	29.9	0.01	1.06	15.6	46.4	5.3	hausa	romance	card
56	Senegal	2,023	Q3	spotify	music	0.01	0.05	9.1	30.4	0.02	2.55	6.5	41	1.41	french	amapiano	mobile_money
57	Tanzania	2,022	Q2	spotify	music	0.021	0.069	6.6	42	0.04	1.77	7.4	40.5	0.69	english	amapiano	mobile_money
58	Uganda	2,022	Q3	spotify	podcasts	0.01	0.05	9.4	12.2	0.01	1.71	8.1	39.3	6.94	english	religion	card
59	Senegal	2,024	Q4	netflix	movies	0.013	0.05	19.8	15.3	0.09	7.27	7.6	51.7	16.04	local	horror	mobile_money
60	Uganda	2,023	Q3	youtube	podcasts	0.01	0.096	6.3	9.3	0.01	0.63	3.9	31.8	3.34	english	religion	mobile_money
61	Tanzania	2,023	Q3	spotify	podcasts	0.025	0.052	5.3	31.4	0.06	2.11	8.7	38.7	3.87	english	sports	bundle
62	South Africa	2,024	Q3	apple_music	music	0.073	0.124	2.5	31.1	1.01	14.11	8.6	84.4	0.53	english	amapiano	bundle
63	DR Congo	2,022	Q3	spotify	music	0.024	0.056	16.9	10	0.03	1.32	11.4	24.7	2.98	local	r&b	card
64	Ghana	2,024	Q1	youtube	music	0.011	0.13	10	27.8	0.02	1.7	3.6	49.2	4.54	local	r&b	mobile_money
65	Cameroon	2,022	Q4	boomplay	music	0.015	0.05	7	21	0.02	1.58	6.8	34.5	1.49	english	r&b	card
66	South Africa	2,022	Q1	showmax	movies	0.066	0.169	11.2	36.5	0.77	12.67	5	72.4	5.47	local	thriller	card
67	Rwanda	2,024	Q4	youtube	series	0.01	0.05	10.9	27.4	0.01	0.57	4.2	46.4	7.63	french	comedy	card
68	DR Congo	2,025	Q2	youtube	movies	0.01	0.116	12.6	7.1	0.01	0.4	3.1	21.1	4.99	french	comedy	bundle
69	South Africa	2,022	Q1	showmax	movies	0.125	0.155	10.4	42.4	2.71	19.41	5.5	83.6	5.01	local	romance	bundle
70	South Africa	2,022	Q2	spotify	podcasts	0.131	0.249	12.4	10.3	1.88	14.09	4.5	69	11.85	local	entertainment	mobile_money
71	Côte d'Ivoire	2,022	Q3	boomplay	music	0.015	0.05	16.1	27.2	0.04	2.76	4.6	40.2	2.38	local	hip_hop	mobile_money
72	Uganda	2,022	Q3	netflix	movies	0.013	0.05	3.9	5.8	0.05	3.42	6.8	35.1	2.81	swahili	romance	mobile_money
73	Tanzania	2,025	Q2	youtube	movies	0.01	0.127	19.9	49.6	0.01	0.83	2.6	40.5	4.43	english	horror	mobile_money
74	Uganda	2,025	Q3	youtube	series	0.01	0.06	19.6	5.6	0.01	0.57	3.2	29.6	12.54	english	reality	bundle
75	Nigeria	2,024	Q1	youtube	music	0.057	0.622	10	66.4	0.1	1.93	3.3	40	4.07	english	hip_hop	mobile_money
76	Tanzania	2,023	Q1	spotify	podcasts	0.026	0.069	21.1	38.8	0.03	1.48	9.8	36.6	10.26	swahili	sports	mobile_money
77	Tanzania	2,025	Q1	netflix	series	0.025	0.05	10.9	42.9	0.1	4.13	10.2	36.2	3.82	english	thriller	mobile_money
78	Uganda	2,025	Q1	boomplay	music	0.013	0.055	12.9	20.8	0.02	1.16	7.6	31.5	2.94	english	gospel	card
79	Nigeria	2,024	Q4	showmax	series	0.084	0.149	17.8	60.7	0.38	4.56	5.5	44	9.07	english	comedy	mobile_money
80	Senegal	2,023	Q3	boomplay	music	0.013	0.05	9.9	14.9	0.01	1.35	4.8	42.8	2.07	local	hip_hop	mobile_money
81	South Africa	2,023	Q2	youtube	movies	0.049	0.576	4.7	21	0.22	5.31	2.8	83.7	2.4	local	thriller	mobile_money
82	Côte d'Ivoire	2,022	Q1	netflix	series	0.036	0.05	9.9	22.1	0.29	7.66	6.9	42.1	3.92	local	comedy	mobile_money
83	Nigeria	2,025	Q2	youtube	music	0.06	0.727	6.7	70.2	0.12	1.82	2.8	44.2	1.96	hausa	afrobeats	bundle
84	Rwanda	2,022	Q3	netflix	series	0.01	0.05	6.5	36.1	0.03	2.88	6.9	46.2	2.85	french	documentary	card
85	Senegal	2,023	Q3	showmax	movies	0.01	0.05	7.9	23.3	0.05	5.43	5.8	42.6	4.21	english	comedy	mobile_money
86	Cameroon	2,025	Q1	youtube	movies	0.01	0.094	17.8	34.8	0.01	1.17	2.9	37.9	4.74	french	horror	bundle
87	Nigeria	2,025	Q2	youtube	movies	0.06	1.024	4.6	69.4	0.09	1.39	2.9	44.9	3.15	english	romance	card
88	Cameroon	2,023	Q2	boomplay	music	0.014	0.05	14.1	33.5	0.02	1.43	4.4	37.7	2.56	english	afrobeats	mobile_money
89	Cameroon	2,022	Q3	boomplay	music	0.022	0.05	15.9	35.9	0.03	1.17	4.2	34.3	1.27	french	gospel	card
90	South Africa	2,024	Q2	showmax	movies	0.063	0.174	6.7	47	1.26	20.87	5.1	65.9	2.32	english	drama	mobile_money
91	Tanzania	2,022	Q4	netflix	series	0.023	0.05	7.9	48.3	0.09	4.51	9.6	34.6	4.47	english	drama	card
92	Ghana	2,025	Q4	youtube	podcasts	0.01	0.128	17.2	24.6	0.02	1.86	3.3	45.9	8.57	english	religion	mobile_money
93	Tanzania	2,023	Q4	audiomack	music	0.025	0.054	7.2	33.8	0.02	0.94	4.2	36.3	0.64	english	hip_hop	card
94	South Africa	2,022	Q2	youtube	movies	0.042	0.769	2.8	9.5	0.17	4.01	2.1	68.9	1.88	english	comedy	bundle
95	Nigeria	2,023	Q2	spotify	music	0.096	0.299	6.2	58.8	0.48	4.56	8.6	38.8	1.01	english	r&b	mobile_money
96	Senegal	2,022	Q1	boomplay	music	0.01	0.05	9.3	35.2	0.01	1.4	4.4	51.9	0.46	french	hip_hop	card
97	Cameroon	2,025	Q4	youtube	music	0.01	0.064	8.7	43	0.01	1.03	2.9	33.3	6.08	english	gospel	bundle
98	Rwanda	2,023	Q3	showmax	movies	0.01	0.05	6.2	20.4	0.02	1.85	5.6	51.5	1.48	local	romance	mobile_money
99	Cameroon	2,025	Q2	spotify	music	0.016	0.05	14.9	42.8	0.04	2.58	6	35.2	1.12	french	gospel	mobile_money
100	Ethiopia	2,022	Q4	showmax	series	0.022	0.05	11.3	28.2	0.05	2.4	5.1	28.2	8.61	english	comedy	card

End of preview. Expand in Data Studio

YAML Metadata Warning:The task_categories "regression" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.

African Streaming Consumption Dataset

Synthetic dataset modeling streaming media consumption across 12 Sub-Saharan African countries, covering 8 major platforms and 3 scenarios (baseline, Netflix expansion, data affordability).

Dataset Summary

Property	Value
Countries	12
Platforms	8
Scenarios	3
Records per scenario	10,000
Total records (combined)	30,000

Countries

Nigeria, South Africa, Kenya, Ghana, Tanzania, Ethiopia, Uganda, Côte d'Ivoire, Senegal, DR Congo, Rwanda, Cameroon

Platforms

Video: Netflix, Showmax, iROKOtv, YouTube
Audio: Spotify, Apple Music, Boomplay, Audiomack

Scenarios

Scenario	Description
baseline	Current market conditions
netflix_expansion	2x Netflix investment in Africa (80% more subs, 60% more MAU, 100% more revenue)
data_affordability	40% more streaming hours, 50% more data consumption, 20% more MAU

Variables

Variable	Type	Description
record_id	int	Unique identifier
country	string	Country name
year	int	2022-2025
quarter	string	Q1-Q4
platform	string	Streaming platform
content_type	string	movies, series, music, podcasts
subscriber_count_millions	float	Paid subscribers (millions)
monthly_active_users_millions	float	Monthly active users (millions)
avg_hours_per_user	float	Average monthly hours per user
local_content_share_pct	float	Percentage of local content consumed
revenue_usd_millions	float	Platform revenue in USD (millions)
arpu_usd	float	Average revenue per user (USD)
churn_rate_pct	float	Monthly churn rate (%)
mobile_streaming_pct	float	Percentage of streaming on mobile
data_consumption_gb_per_user	float	Monthly data consumption per user (GB)
content_language	string	Primary content language
genre_preference	string	Most popular genre
payment_method	string	mobile_money, card, or bundle

Market Characteristics

South Africa: Showmax dominance in video streaming (higher local content share for Showmax)
Nigeria: Nollywood-driven high local content share (55-80%) for movies and series
East Africa: Swahili content prevalence, strong mobile money integration
Francophone Africa: French content emphasis, emerging markets

Methodology

Dataset is fully synthetic, generated with seeded randomness (seed=42). Country-specific parameters reflect estimated market conditions including GDP per capita, mobile penetration, and platform popularity. Scenario modifiers are deterministic multipliers applied to baseline distributions.

License

CC-BY-4.0

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