Datasets:

electricsheepafrica
/

africa-synth-mortality-life-insurance-actuarial-all

record_id int64 0 10k	country stringclasses 12 values	year int64 2.02k 2.02k	age_group stringclasses 9 values	gender stringclasses 2 values	mortality_rate_per_1000 float64 1.83 637	life_expectancy_years float64 44.6 78.4	morbidity_rate_pct float64 5.38 95	hiv_prevalence_pct float64 0.3 17.8	policy_count_thousands float64 10.1 2.33k	premium_per_policy_usd float64 10.6 314	sum_assured_avg_usd float64 1.59k 46k	policy_persistency_rate_pct float64 40 95	lapse_rate_pct float64 2 40	claim_frequency_per_1000_policies float64 0.83 500	avg_claim_amount_usd float64 1.69k 44.7k	loss_ratio_pct float64 20 150	reserve_adequacy_ratio float64 0.5 1.61	underwriting_profit_margin_pct float64 -30 40	product_type stringclasses 5 values	distribution_channel stringclasses 4 values	commission_rate_pct float64 1 23.1	expense_ratio_pct float64 3 33.9	solvency_ratio float64 0.5 3.22	actuarial_quality_class stringclasses 4 values
0	South Africa	2,019	55-64	Female	63.33	62.6	95	13.73	706.9	158.51	14,413.58	73.46	15.03	45.75	6,741.78	150	0.6	-30	whole_life	agent	11.65	18.89	0.5	critical
1	South Africa	2,022	15-24	Female	23.06	60.9	24.32	12.33	574.9	78.04	19,771.92	72.12	16.78	18.51	6,792.51	150	0.546	-30	term_life	agent	16.57	19.29	0.5	critical
2	South Africa	2,020	65-74	Female	100.63	65.9	95	13.75	907.2	152.06	10,554.74	83.39	8.85	55.99	7,165.81	150	0.749	-30	endowment	bancassurance	6.41	14.79	0.684	critical
3	South Africa	2,019	75+	Female	241.62	64.5	95	12.78	968.7	64.05	22,048.3	80.7	8.69	207.35	10,739.09	150	0.608	-30	group_life	corporate	3.73	7.7	0.5	critical
4	South Africa	2,024	25-34	Female	50.1	66.7	38.91	12.02	1,024.3	35.79	11,250.16	76.49	9.71	43.4	5,459.2	150	0.732	-30	credit_life	agent	7.8	16.62	0.5	critical
5	South Africa	2,019	0-4	Male	54.94	65.3	22.62	11.36	626	63.73	15,625.22	81.37	11.95	39.79	7,544.75	150	0.768	-30	group_life	bancassurance	6.36	15.26	0.651	critical
6	South Africa	2,022	0-4	Male	55.26	67.3	31.43	12.95	525.3	150.93	12,232.92	85.61	3.05	28.74	11,573.37	150	0.673	-30	endowment	agent	14.62	18.04	0.5	critical
7	South Africa	2,024	75+	Female	211.83	64.2	95	13.83	945.2	50.23	12,478.54	68.57	19.83	146.47	8,613.19	150	0.54	-30	credit_life	agent	14.35	13.05	0.5	critical
8	South Africa	2,024	65-74	Female	112.15	61.3	95	13.88	576.2	49.47	8,964.71	62.06	28.08	80.84	7,919.49	150	0.712	-30	credit_life	digital	2.27	7.6	1.224	weak
9	South Africa	2,024	55-64	Male	83.88	66.8	78.36	13.42	1,137.1	179.83	8,102.75	88.46	2	58.65	9,375.98	150	0.752	-30	endowment	bancassurance	7.51	12.98	0.72	critical
10	South Africa	2,024	35-44	Female	59.72	64.8	29.47	11.82	1,213.8	127.07	11,159.49	72.41	20.05	46	16,297.49	150	0.543	-30	whole_life	agent	6.92	20.63	0.542	critical
11	South Africa	2,023	15-24	Male	19.71	64	20.67	12.03	493.1	150.56	11,036.44	85.75	8.94	13.95	8,422.12	150	0.85	-30	endowment	bancassurance	5.46	19.17	0.916	critical
12	South Africa	2,021	5-14	Male	6.49	64.1	12.63	14.44	1,316.9	76.39	15,287.56	65.91	27.36	8.12	9,406.81	45.39	1.242	5.77	term_life	agent	14.75	26.49	1.761	strong
13	South Africa	2,022	35-44	Male	66.69	64.4	35.14	12.15	1,111.7	77.23	18,637.45	62.8	27.55	64.04	10,824.54	150	0.638	-30	term_life	digital	3.41	11.42	0.644	critical
14	South Africa	2,020	5-14	Female	5.48	65.9	18.56	13.3	616.6	55.18	21,881.92	75.32	17.53	3.48	12,505.88	59.03	1.225	29.07	group_life	digital	4.57	7.19	1.963	strong
15	South Africa	2,019	35-44	Male	74.41	60.6	48.28	13.6	897.4	221.78	12,706.98	80.54	11.96	33.1	9,250.42	150	0.578	-30	endowment	bancassurance	9.72	10.12	1.129	critical
16	South Africa	2,019	45-54	Male	68.45	64.6	77.44	13.52	628.4	78.44	19,157.62	72.81	16.65	68.99	15,635.73	150	0.664	-30	term_life	bancassurance	8.99	12.17	0.5	critical
17	South Africa	2,024	5-14	Female	4.97	65.9	12.47	13.06	756.3	62.58	7,089.59	67.16	21.92	3.08	6,950.59	20	1.14	40	credit_life	digital	3.83	8.19	2.142	strong
18	South Africa	2,019	25-34	Male	50.68	66	35.63	13.43	709.3	85.18	23,017.34	67.76	25	52.24	8,175.83	150	0.791	-30	term_life	digital	3.41	8.92	1.054	critical
19	South Africa	2,020	65-74	Male	123.36	65.9	90.08	12.61	535.5	76.08	17,778.71	65.81	26.59	107.5	4,217.31	150	0.688	-30	term_life	agent	14.04	17.51	0.618	critical
20	South Africa	2,021	65-74	Female	101.14	67.8	95	11.49	652.8	50.55	12,247.88	78.49	12.58	91.97	6,590.91	150	0.743	-30	credit_life	bancassurance	8.45	12.5	0.806	critical
21	South Africa	2,020	0-4	Male	56.88	63.3	25.03	12.17	704	43.28	11,250.71	65.99	24.25	46	22,090.43	150	0.679	-30	credit_life	digital	2.61	12.87	0.74	critical
22	South Africa	2,019	45-54	Female	78.1	65.5	53.68	14.12	939.2	218.48	14,102.33	81.95	7.81	52.46	7,552.07	150	0.642	-30	endowment	bancassurance	7.04	8.56	0.725	critical
23	South Africa	2,024	55-64	Male	84.74	66.5	74.5	11.64	693.6	53.96	18,454.29	83.21	11.38	66.71	5,287.5	150	0.697	-30	group_life	bancassurance	5.6	17.89	0.64	critical
24	South Africa	2,023	0-4	Male	67.75	63.9	26.15	13.82	1,205.5	184.96	11,717.3	70.94	19.43	48.99	11,785.75	150	0.5	-30	whole_life	agent	12.24	24.1	0.5	critical
25	South Africa	2,019	55-64	Male	73.18	68.4	89.14	12.19	617.8	142.84	22,277.11	73.31	15.82	49.71	6,123.18	150	0.736	-30	whole_life	digital	1.69	5.22	0.661	critical
26	South Africa	2,022	35-44	Male	65.46	64.2	36.29	12.42	982.4	80.08	14,346.14	58.99	26.19	57.63	10,822.18	150	0.673	-30	term_life	agent	9.07	18.4	0.682	critical
27	South Africa	2,021	35-44	Male	56.75	61.7	38.7	12.04	486	314.1	8,021.74	82.55	10.91	31.08	6,796.84	150	0.754	-30	endowment	agent	14.28	22.43	1.141	critical
28	South Africa	2,021	0-4	Female	55.89	64	23.03	12.29	985.9	54.92	25,234.01	80.13	6.87	49.32	4,773.08	150	0.75	-30	group_life	digital	3.61	14.27	0.57	critical
29	South Africa	2,019	45-54	Female	58.82	62.6	45.8	15.88	505.5	107.1	14,442.22	72.97	17.71	49.47	9,820.61	150	0.787	-30	term_life	bancassurance	10.11	13.44	0.831	critical
30	South Africa	2,020	25-34	Female	55.51	67.1	26.33	13.64	596.4	55.08	19,596.56	80.92	6.11	51.32	11,809.03	150	0.709	-30	group_life	agent	15.03	11.47	0.506	critical
31	South Africa	2,023	65-74	Female	78.82	65.4	95	11.89	955	71.72	20,251.7	79.13	6.65	100.35	13,702.93	150	0.67	-30	term_life	bancassurance	6.98	9.03	0.789	critical
32	South Africa	2,019	75+	Female	202.11	63.2	95	13.83	1,019.3	49.57	10,925.43	72.74	17.45	190.9	4,338.53	150	0.601	-30	credit_life	bancassurance	6.6	9.28	0.5	critical
33	South Africa	2,019	25-34	Male	59.92	62.3	29.51	14.52	450.9	142.63	8,820.03	71.55	15.45	34.79	14,376.54	150	0.575	-30	whole_life	agent	15.5	22.16	0.865	critical
34	South Africa	2,022	5-14	Male	6.69	63.9	14.77	12.54	1,064.3	79.79	23,253.22	65.25	21.74	5.03	9,169.08	43.59	1.247	40	term_life	digital	1.59	5.73	2.582	strong
35	South Africa	2,023	65-74	Male	121.56	65.5	95	14.1	603.9	192.13	8,776.94	77.37	8.67	78.19	7,429.66	150	0.562	-30	endowment	agent	15.15	15.18	0.583	critical
36	South Africa	2,019	35-44	Male	72.66	65.4	37.14	10.56	1,113.9	78.55	25,200.98	64.85	21.2	96.38	10,468.22	150	0.641	-30	term_life	digital	2.58	6.78	0.651	critical
37	South Africa	2,019	35-44	Female	69.57	68.2	48.85	12.4	1,019	158.86	12,078.53	84.37	6.8	42.1	5,984.33	150	0.585	-30	endowment	corporate	3.87	6.78	0.5	critical
38	South Africa	2,020	55-64	Female	69.78	61.5	76.98	12.84	857.8	90.53	13,848.33	72.94	12.51	48.75	6,952.46	150	0.788	-30	term_life	bancassurance	4.44	14.3	0.673	critical
39	South Africa	2,024	35-44	Male	66.05	66.3	45.04	12.61	983.7	84.67	18,051.14	77.14	10.62	66	10,731.92	150	0.683	-30	term_life	bancassurance	8.24	11.07	1.104	critical
40	South Africa	2,022	35-44	Female	66.54	67.7	36.74	12.75	354.6	65.11	25,633.03	79.43	9.12	56.18	23,955.38	150	0.579	-30	term_life	corporate	6.52	3.84	0.543	critical
41	South Africa	2,024	45-54	Male	73.34	62.3	62.77	14.18	811.4	54.1	32,003.72	84.85	2.16	82.83	6,919.24	150	0.658	-30	group_life	agent	16.36	24.32	0.502	critical
42	South Africa	2,024	65-74	Male	122.6	64.9	95	11.76	750.3	285.69	10,164.82	83.94	2	81.79	15,300.49	150	0.649	-30	endowment	agent	12.22	15.93	0.5	critical
43	South Africa	2,024	35-44	Male	62.37	66.6	45.24	12.52	647.8	81.76	35,250.68	79.18	10.45	45.51	6,850.77	150	0.841	-30	group_life	agent	13	20.63	0.581	critical
44	South Africa	2,023	65-74	Female	93.91	66.8	95	13.06	832.5	74.79	22,860.71	89.41	2	68.27	6,617.93	150	0.664	-30	group_life	bancassurance	6.1	12.95	0.532	critical
45	South Africa	2,020	75+	Male	294.34	67.4	95	12.78	1,174	70.66	15,505.07	82.11	12.83	236.34	8,293.1	150	0.707	-30	group_life	agent	7.95	23.98	0.527	critical
46	South Africa	2,023	75+	Female	186.51	65.4	95	14.67	843	198.12	10,249.75	75.55	13.63	123.49	9,302.9	150	0.819	-30	whole_life	agent	11.8	15.78	0.5	critical
47	South Africa	2,019	25-34	Female	51.93	65.9	28.67	12.09	1,273.3	60.58	7,134.14	64.63	27.25	40.65	10,334.81	150	0.837	-30	credit_life	digital	3.69	7.09	0.768	critical
48	South Africa	2,023	0-4	Male	55.05	64.3	28.1	12.8	535	116.56	26,196.65	64.35	30.64	55.83	4,252.69	150	0.724	-30	term_life	digital	2.54	6.68	1.017	critical
49	South Africa	2,019	0-4	Male	57.85	69.9	25.98	12.78	923.6	148.35	11,857.72	81.49	13.11	32.38	5,033.4	150	0.69	-30	endowment	agent	14.63	17.12	0.5	critical
50	South Africa	2,021	75+	Male	281.82	68.6	95	11.76	1,055.7	120.69	19,684.93	70.6	24.08	286.99	10,506.77	150	0.728	-30	term_life	digital	4.09	10.29	0.891	critical
51	South Africa	2,022	75+	Male	277.51	68.5	95	15.39	435.6	57.81	29,201.11	83.59	3.97	239.51	3,598.36	150	0.657	-30	group_life	bancassurance	7.97	7.89	0.5	critical
52	South Africa	2,022	0-4	Female	54.2	61.3	25.1	14.27	1,458.5	59.56	8,913.77	63.75	24	46.48	11,391.93	150	0.74	-30	credit_life	agent	7.27	23.91	0.719	critical
53	South Africa	2,021	55-64	Female	52.86	63.6	76.99	13.3	488.3	73.23	19,283.56	78.44	10.77	41.6	12,288.48	150	0.671	-30	term_life	bancassurance	7.41	12.05	0.88	critical
54	South Africa	2,020	15-24	Male	16.82	63.2	21.87	12.25	508.2	199.08	7,003.69	77.81	11.13	10.47	11,793.65	150	0.861	-30	endowment	bancassurance	7.68	16.75	0.671	critical
55	South Africa	2,024	0-4	Male	62.44	65.2	21.19	13.99	887.6	55.18	37,517.59	72.67	17.78	52.6	9,400.83	150	0.607	-30	term_life	agent	13.93	19.11	0.5	critical
56	South Africa	2,020	5-14	Female	5.67	65.4	15.86	12.93	834.6	99.35	28,338.32	67.47	19.26	4.69	6,708.92	21.57	1.3	40	term_life	digital	3.93	9.16	2.535	strong
57	South Africa	2,020	45-54	Male	76.27	66.4	63.38	14.43	587.6	38.55	6,279.01	73.48	21.46	85.25	5,701.09	150	0.556	-30	credit_life	bancassurance	3.69	10.08	0.658	critical
58	South Africa	2,023	5-14	Male	6.67	60	22.8	14.34	488.3	248.53	17,981.4	71.44	17.76	5.32	10,070.69	107.19	0.913	-30	whole_life	agent	13.18	17.24	0.623	weak
59	South Africa	2,023	25-34	Female	55.87	63.3	28.84	13.08	815.3	53.85	25,582.29	82.77	3.64	51.53	6,138.6	150	0.785	-30	group_life	corporate	4.77	7.08	0.699	critical
60	South Africa	2,019	55-64	Female	74.94	66.2	95	16.77	866.3	131.42	11,512.98	77.71	11.72	59.86	9,606.68	150	0.71	-30	whole_life	agent	13.71	15.73	0.56	critical
61	South Africa	2,023	15-24	Female	20.04	63.9	19.74	16.64	1,002.7	95.99	12,218.96	63.69	24.99	17.54	17,082.24	150	0.725	-30	term_life	agent	10.76	19.56	0.57	critical
62	South Africa	2,022	25-34	Male	45.44	63.8	26.62	11.64	987.3	89.75	22,170.31	69.51	20.09	32.35	9,291.17	150	0.682	-30	term_life	bancassurance	5.58	17.02	0.571	critical
63	South Africa	2,023	25-34	Female	61.98	64.3	24.27	14.82	897.6	41.29	10,963.3	72.92	18.25	49.49	8,924.43	150	0.74	-30	credit_life	bancassurance	6.63	12.89	0.645	critical
64	South Africa	2,023	25-34	Male	43.87	61.3	29.8	12.02	1,690	164.04	14,994.19	78.55	7.26	29.81	9,631.42	150	0.726	-30	whole_life	agent	15.5	20.27	0.579	critical
65	South Africa	2,023	15-24	Male	22.59	65.1	20.78	11.72	731.1	84.17	12,967.07	74.86	12.49	18.48	7,080.55	150	0.709	-30	term_life	digital	2.81	10.14	0.706	critical
66	South Africa	2,022	25-34	Male	50.66	66.1	23.34	13.37	785.1	185.43	11,030.18	82.25	2.8	25.88	7,088.36	150	0.691	-30	endowment	corporate	5.26	8.32	0.829	critical
67	South Africa	2,023	25-34	Female	57.72	64.1	34.67	13.63	1,798.2	65.23	21,934.51	79.22	14.01	42.41	6,846.07	150	0.744	-30	group_life	corporate	4.42	11.5	0.5	critical
68	South Africa	2,020	35-44	Female	65.4	62.2	34.05	11.54	697.3	166.51	13,782.02	80.25	13.48	43.14	9,901.11	150	0.675	-30	endowment	bancassurance	8.64	13.48	0.608	critical
69	South Africa	2,021	0-4	Female	48.15	66.5	31.03	16.13	638.2	61.07	34,606.71	85.13	8.37	37.22	8,293.39	150	0.804	-30	group_life	bancassurance	7.09	9.59	0.5	critical
70	South Africa	2,020	55-64	Female	53.79	67.5	80.07	11.67	620.3	136.07	17,911.33	77.12	8.89	37.52	7,633	150	0.729	-30	whole_life	agent	13.72	16.77	0.5	critical
71	South Africa	2,022	45-54	Male	73.77	62.9	60.12	13.05	849.9	54.47	22,964.22	65.68	25.56	65.59	5,901.94	150	0.635	-30	term_life	agent	13.54	16.72	0.5	critical
72	South Africa	2,019	75+	Female	228.2	62.4	95	11.48	1,050.9	140.03	16,225.17	73.69	15.91	150.12	8,924.39	150	0.587	-30	whole_life	agent	13.61	16.3	0.5	critical
73	South Africa	2,019	65-74	Female	91.89	64.6	95	13.21	1,007.7	151.69	10,274.81	82.39	3.8	54.14	11,091.62	150	0.786	-30	endowment	agent	9.43	19.73	0.983	critical
74	South Africa	2,022	25-34	Female	53.76	66.7	31.84	13.3	1,154.3	56.65	17,780.78	86.58	3.4	51.57	10,247.73	150	0.672	-30	group_life	corporate	4.46	7.21	0.5	critical
75	South Africa	2,022	15-24	Male	29.28	69.1	26.35	15.17	678.1	75	19,128.87	90.11	2	27	10,509.24	150	0.646	-30	group_life	corporate	6.2	7.14	0.519	critical
76	South Africa	2,021	0-4	Female	51.75	68.7	24.02	13.25	730.2	122.45	26,474.52	69.59	21.57	46.17	5,112.02	150	0.637	-30	term_life	digital	1.23	10.81	0.5	critical
77	South Africa	2,021	35-44	Female	68.08	62.7	25.51	13.69	1,361.4	100.57	21,865.26	68.89	21.74	68.93	5,156.7	150	0.656	-30	term_life	agent	10.28	19.41	0.5	critical
78	South Africa	2,020	55-64	Female	58.97	64.4	95	11.95	796.6	51.73	22,452.08	62.9	31.47	63.23	7,148.56	150	0.584	-30	term_life	digital	3.52	6.09	0.5	critical
79	South Africa	2,020	35-44	Female	71.24	61.8	46.7	13.62	627.4	102.96	35,028.69	66.06	20.43	65.42	8,502.56	150	0.571	-30	term_life	agent	17.43	17.67	0.5	critical
80	South Africa	2,020	45-54	Female	71.57	68.5	48.48	12.43	813.8	73.82	14,740.13	77.59	12.82	63.91	5,463.61	150	0.655	-30	term_life	bancassurance	11.25	12.97	0.5	critical
81	South Africa	2,020	0-4	Male	57.68	65.2	32.03	12.92	931	85.92	12,563.58	76.15	15.05	63.56	6,123.81	150	0.773	-30	term_life	bancassurance	10.16	10.66	0.844	critical
82	South Africa	2,022	25-34	Female	47.57	66.6	27.22	13.5	821.8	182.4	17,287.3	75.29	16.07	39.81	6,223.14	150	0.664	-30	whole_life	agent	10.37	13.77	0.799	critical
83	South Africa	2,022	45-54	Female	59.15	63.8	58.76	11.93	548.6	46.65	17,482.94	79.9	5.37	49.33	10,722	150	0.692	-30	group_life	agent	9.48	18.54	0.624	critical
84	South Africa	2,023	65-74	Male	156.27	65.5	95	12.24	491.6	196.14	13,203.96	87.78	2	81.32	9,010.27	150	0.679	-30	endowment	agent	13.51	21.47	0.5	critical
85	South Africa	2,024	15-24	Female	21.18	64.6	22.93	15.04	1,000.8	61.48	12,595.81	66.13	20.13	18.66	4,716.37	85.55	1.072	2.45	term_life	digital	1.99	9.76	1.56	adequate
86	South Africa	2,024	45-54	Male	71.25	65.4	59.38	12.45	683.1	90.4	28,500.39	68.55	23.63	66.15	6,956.77	150	0.516	-30	term_life	digital	2.7	12	0.5	critical
87	South Africa	2,019	75+	Male	344.53	64.8	95	14.3	1,133.6	90.05	24,076.81	65.28	29.08	344.17	10,342	150	0.579	-30	term_life	digital	5.69	5.47	0.5	critical
88	South Africa	2,022	15-24	Female	21.03	67.4	29.15	16.05	807.3	277.87	11,483.78	81.14	10.01	12	9,974.54	148.7	0.709	-30	endowment	corporate	7.54	6.75	0.5	critical
89	South Africa	2,021	45-54	Male	61.68	62.2	55.92	12.45	516.6	193.79	12,983.35	80.33	14.61	47.73	23,850.1	150	0.669	-30	whole_life	bancassurance	7.64	9.66	0.623	critical
90	South Africa	2,019	55-64	Female	62.34	68	70.54	12.92	564	68.85	24,988.9	81.37	10.66	47.13	10,071.94	150	0.709	-30	group_life	digital	3.59	8.32	1.049	critical
91	South Africa	2,023	0-4	Male	58.45	68.6	24.62	14.56	1,717.6	52.54	6,879.18	73.22	20.39	53.08	15,706.85	150	0.785	-30	credit_life	bancassurance	9.84	4.64	0.531	critical
92	South Africa	2,020	35-44	Female	58.33	67.1	36.88	12.77	832.2	75.07	12,912.82	76.47	12.63	77.78	4,609.09	150	0.666	-30	term_life	bancassurance	8.46	11.18	0.5	critical
93	South Africa	2,023	65-74	Male	134.47	65.5	76.62	12.48	688.9	107.26	18,507.29	74.09	14.95	162.02	18,060.24	150	0.548	-30	term_life	agent	13.25	10.93	0.5	critical
94	South Africa	2,022	35-44	Female	52.79	59.8	31.68	11.3	633.5	264.13	9,551.03	73.81	19.67	35.18	6,103.36	150	0.731	-30	whole_life	digital	4.02	11.36	0.5	critical
95	South Africa	2,021	35-44	Female	62.74	62.9	39.11	10.67	734.2	63.61	28,173.49	74.88	10.18	67.35	12,558.34	150	0.621	-30	group_life	bancassurance	5.45	11.91	0.569	critical
96	South Africa	2,019	35-44	Female	52.96	63.6	38.96	12.25	973.3	59.38	33,916.34	87.08	6.98	41.84	3,704.86	150	0.614	-30	group_life	corporate	6.44	12.16	0.649	critical
97	South Africa	2,024	15-24	Female	14.13	68	25.29	10.43	630.4	186.22	18,271.34	68.91	22.97	10.29	12,320.43	150	0.727	-30	whole_life	digital	4.31	8.68	0.972	critical
98	South Africa	2,021	15-24	Female	22.54	66.5	23.28	14.3	1,003.1	175.35	16,784.64	85.2	3.21	14.46	8,707.36	117.32	0.733	-27.96	whole_life	corporate	4.96	4.72	0.564	critical
99	South Africa	2,019	5-14	Male	6.67	64.1	16.54	12.1	1,159	79.44	23,273.09	75.93	16.96	5.69	6,626.72	44.04	1.22	40	term_life	bancassurance	8.56	7.57	2.424	strong

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African Life Insurance Actuarial | Africa (Electric Sheep Africa metadata inventory)

Size category: 10K<n<100K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Health datasets help researchers examine disease burden, service delivery, risk factors, outcomes, and public-health program performance.

Dataset context from the existing Hugging Face card: ⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference. African Life Insurance Actuarial Dataset Abstract A comprehensive synthetic actuarial dataset for life insurance markets across 12 Sub-Saharan African (SSA) countries. The dataset contains 10,000 records per scenario across three scenarios (baseline, improved mortality, pandemic impact), totaling 30,000 observations with 25… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-mortality-life-insurance-actuarial-all.

Dataset Profile

Field	Value
Hugging Face repo	`electricsheepafrica/africa-synth-mortality-life-insurance-actuarial-all`
Sector	health
Topic tags	insurance, life-insurance, actuarial, mortality, sub-saharan-africa, synthetic, hiv, health, south-africa, nigeria, kenya, tabular
Modalities	`tabular`, `text`
Formats	`csv`
Size category	`10K<n<100K`
Countries	Kenya, Nigeria, South Africa
ISO3 coverage	`KEN`, `NGA`, `ZAF`
Last modified on HF	`2026-04-14 23:00:01+00:00`
Inventory snapshot	`2026-07-16T16:00:34Z`

How To Read This Dataset

Start from the repository files and the dataset viewer when available.
Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-synth-mortality-life-insurance-actuarial-all")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
Exact schema, row counts, and source files should be inspected in the repository data files.
Metadata gaps from the inventory: upstream_publisher.
Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Source context: Electric Sheep Africa metadata inventory
Publisher/source attribution: Public dataset metadata
License: CC BY 4.0
Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/africa-synth-mortality-life-insurance-actuarial-all
Inventory retrieved at: 2026-07-16T16:00:34Z

Suggested Analyses

Inspect schema and missingness before modeling.
Profile variables by geography, time, and subgroup columns where present.
Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_africa_synth_mortality_life_insurance_actuarial_all_2026,
  title        = {African Life Insurance Actuarial | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-synth-mortality-life-insurance-actuarial-all},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-synth-mortality-life-insurance-actuarial-all}}
}

License

Released under CC BY 4.0.

Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

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