Seychelles

SYC UNHCR Refugee Data Finder SYC-UNHCR Migration

150 rows · 2 table(s) UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

SYC UNHCR - Hosted Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

SYC UNHCR - Origin Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

SYC World Bank Open Data SYC-WORLD_BANK Development Indicators

132 rows · 2 table(s) World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 2 table(s)

SYC World Bank - Development Indicators — 66 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SC, SC, SC, SC, SC
`population_count`	Population count	float	SEL	2%	65	41700.0, 42889.0, 44042.0, 45176.0, 46322.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	60.5314390243903, 60.6061219512195, 60.6882926829268,...
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	288.058144476031, 270.279646614487, 287.04477353783,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	94%	4	84.2300033569336, 87.8099975585938, 91.8399963378906,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	46	104.6, 103.2, 101.7, 100.0, 98.0
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	97%	2	39.3, 25.3

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Seychelles, Seychelles, Seychelles, Seychelles, Seychelles
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

SYC World Bank - Health Indicators — 66 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SC, SC, SC, SC, SC
`life_expectancy`	Life expectancy	float	SEL	3%	64	60.5314390243903, 60.6061219512195, 60.6882926829268,...
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	42%	15	13.1, 12.5, 11.9, 11.4, 10.9
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	46	104.6, 103.2, 101.7, 100.0, 98.0
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	23	69.0, 65.0, 62.0, 60.0, 61.0
`fertility_rate`	Fertility rate	float	SEL	3%	59	5.313, 5.422, 5.513, 5.606, 5.694
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	55	36.485, 36.908, 37.005, 36.995, 36.838
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	30	13.051, 12.648, 12.407, 12.148, 11.912
`physicians_per_1000`	Physicians per 1000	float	SEL	68%	21	0.312, 0.224, 0.218, 0.407, 0.445
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	61%	26	7.09832143783569, 6.49249982833862, 4.94969987869263,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	33%	10	13.0, 55.0, 97.0, 95.0, 86.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	4.61071777, 4.54768324, 4.19562864, 4.86075974, 4.66628933

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Seychelles, Seychelles, Seychelles, Seychelles, Seychelles
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

SYC Global Data Lab SYC-GDL Development Indices

84 rows · 1 table(s) Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

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1 Admin 1 — 1 table(s)

SYC GDL - Subnational Indices — 84 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SYC, SYC, SYC, SYC, SYC
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	6	Total, Central (Greater Victoria, districts 9, 16, 17,...
`human_development_index`	Human development index	float	SEL	0%	55	0.739, 0.74, 0.738, 0.741, 0.72
`health_index`	Health index	float	SEL	0%	9	0.807, 0.807, 0.807, 0.807, 0.807
`education_index`	Education index	float	SEL	0%	44	0.622, 0.622, 0.615, 0.642, 0.573
`income_index`	Income index	float	SEL	0%	52	0.805, 0.805, 0.811, 0.785, 0.805
`life_expectancy`	Life expectancy	float	SEL	0%	14	72.48, 72.48, 72.48, 72.48, 72.48
`mean_years_schooling`	Mean years schooling	float	SEL	0%	48	9.329, 9.337, 9.224, 9.635, 8.597

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	14	2010, 2010, 2010, 2010, 2010
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

SYC HDX COD — Population Statistics (OCHA/UNFPA) SYC-COD_PS Census Derived Population

39 rows · 2 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 10 SEL ▶

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1 Admin 1 — 1 table(s)

SYC Cod Ps - Syc Codps (admin_1) — 4 rows, 322 columns

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Field details — 322 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	4	SC3, SC1, SC4, SC2
`region_name`	Region name	string	SEL	0%	4	La Digue, Mahe, Other Islands, Praslin
`T_TL`	Total population	integer	SEL	0%	4	2761, 78539, 1042, 8603
`F_TL`	Female population	integer	SEL	0%	4	1512, 39806, 825, 4769
`M_TL`	Male population	integer	SEL	0%	4	1249, 38733, 217, 3834

Pending (317) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2019, 2019, 2019, 2019
`ADM0_EN`	ADM0_EN	string	0%	1	Seychelles, Seychelles, Seychelles, Seychelles
`ADM1_TYPE`	ADM1_TYPE	string	0%	1	Islands, Islands, Islands, Islands
`H_TL`	H_TL	integer	0%	4	800, 21222, 258, 2490
`f_0yrs`	f_0yrs	integer	0%	4	21, 600, 0, 80
`m_0yrs`	m_0yrs	integer	0%	4	25, 653, 0, 83
`t_0yrs`	t_0yrs	integer	0%	4	46, 1253, 0, 163
`f_1yr`	f_1yr	integer	0%	4	24, 604, 0, 85
`m_1yr`	m_1yr	integer	0%	4	19, 608, 3, 76
`t_1yr`	t_1yr	integer	0%	4	43, 1212, 3, 161
`f_2yrs`	f_2yrs	integer	0%	4	14, 596, 0, 81
`m_2yrs`	m_2yrs	integer	0%	4	20, 541, 2, 58
`t_2yrs`	t_2yrs	integer	0%	4	34, 1137, 2, 139
`f_3yrs`	f_3yrs	integer	0%	4	21, 604, 0, 64
`m_3yrs`	m_3yrs	integer	0%	4	17, 620, 1, 72
`t_3yrs`	t_3yrs	integer	0%	4	38, 1224, 1, 136
`f_4yrs`	f_4yrs	integer	0%	4	16, 558, 0, 52
`m_4yrs`	m_4yrs	integer	0%	4	18, 610, 0, 73
`t_4yrs`	t_4yrs	integer	0%	4	34, 1168, 0, 125
`f_5yrs`	f_5yrs	integer	0%	4	20, 603, 0, 71
`m_5yrs`	m_5yrs	integer	0%	4	22, 608, 0, 73
`t_5yrs`	t_5yrs	integer	0%	4	42, 1211, 0, 144
`f_6yrs`	f_6yrs	integer	0%	4	29, 566, 2, 59
`m_6yrs`	m_6yrs	integer	0%	4	18, 576, 0, 69
`t_6yrs`	t_6yrs	integer	0%	4	47, 1142, 2, 128
`f_7yrs`	f_7yrs	integer	0%	4	20, 568, 0, 61
`m_7yrs`	m_7yrs	integer	0%	4	24, 630, 2, 55
`t_7yrs`	t_7yrs	integer	0%	4	44, 1198, 2, 116
`f_8yrs`	f_8yrs	integer	0%	4	24, 587, 0, 59
+287 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

SYC Cod Ps - Syc Codps (admin_2) — 35 rows, 324 columns

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Field details — 324 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	35	SC11, SC12, SC13, SC36, SC15
`region_name`	Region name	string	SEL	0%	33	Central 1 Mahe, Central 2 Mahe, East Mahe, La Digue, North Mahe
`T_TL`	Total population	string	SEL	0%	33	13351, 13099, 22414, 2761, 16378
`F_TL`	Female population	string	SEL	0%	33	6563, 6731, 11412, 1512, 8185
`M_TL`	Male population	string	SEL	0%	33	6788, 6368, 11002, 1249, 8193

Pending (319) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	2	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	Reference year	integer	0%	1	2019, 2019, 2019, 2019, 2019
`ADM0_EN`	ADM0_EN	string	0%	1	Seychelles, Seychelles, Seychelles, Seychelles, Seychelles
`ADM1_TYPE`	ADM1_TYPE	string	0%	1	Islands, Islands, Islands, Islands, Islands
`ADM2_TYPE`	ADM2_TYPE	string	0%	1	Region, Region, Region, Region, Region
`Row_Labels`	Row_Labels	string	77%	8	Central 1 Mahe, Central 2 Mahe, East Mahe, La Digue, North Mahe
`H_TL`	H_TL	string	0%	33	3647, 3544, 5994, 800, 4624
`f_0yrs2010`	f_0yrs2010	string	0%	25	93, 96, 163, 21, 139
`m_0yrs2010`	m_0yrs2010	string	0%	24	104, 101, 210, 25, 116
`t_0yrs2010`	t_0yrs2010	string	0%	28	197, 197, 373, 46, 255
`f_1yr2010`	f_1yr2010	string	0%	27	111, 86, 200, 24, 116
`m_1yr2010`	m_1yr2010	string	0%	26	103, 96, 203, 19, 119
`t_1yr2010`	t_1yr2010	string	0%	27	214, 182, 403, 43, 235
`f_2yrs2010`	f_2yrs2010	string	0%	23	108, 90, 170, 14, 121
`m_2yrs2010`	m_2yrs2010	string	0%	25	96, 88, 161, 20, 112
`t_2yrs2010`	t_2yrs2010	string	0%	29	204, 178, 331, 34, 233
`f_3yrs2010`	f_3yrs2010	string	0%	25	105, 119, 164, 21, 109
`m_3yrs2010`	m_3yrs2010	string	0%	28	91, 104, 177, 17, 145
`t_3yrs2010`	t_3yrs2010	string	0%	30	196, 223, 341, 38, 254
`f_4yrs2010`	f_4yrs2010	string	0%	23	92, 102, 172, 16, 101
`m_4yrs2010`	m_4yrs2010	string	0%	25	105, 120, 157, 18, 118
`t_4yrs2010`	t_4yrs2010	string	0%	26	197, 222, 329, 34, 219
`f_5yrs2010`	f_5yrs2010	string	0%	25	92, 85, 181, 20, 135
`m_5yrs2010`	m_5yrs2010	string	0%	23	85, 107, 206, 22, 114
`t_5yrs2010`	t_5yrs2010	string	0%	26	177, 192, 387, 42, 249
`f_6yrs2010`	f_6yrs2010	string	0%	22	90, 104, 153, 29, 119
`m_6yrs2010`	m_6yrs2010	string	0%	26	87, 90, 172, 18, 115
`t_6yrs2010`	t_6yrs2010	string	0%	28	177, 194, 325, 47, 234
`f_7yrs2010`	f_7yrs2010	string	0%	24	115, 103, 151, 20, 110
`m_7yrs2010`	m_7yrs2010	string	0%	25	87, 105, 187, 24, 131
+289 more pending fields — download the CSV/Parquet to see them all.

SYC LandScan Global (ORNL) SYC-LANDSCAN Modeled Population

27 rows · 2 table(s) LandScan Global (ORNL) 0 1 2 3 14 SEL ▶

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0 Admin 0 — 1 table(s)

SYC LandScan - Population Admin0 (admin_0) — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SYC
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Seychelles
`admin_code`	Admin code	string	SEL	0%	1	56145704B89763856057018
`area_sqkm`	Area sqkm	float	SEL	0%	1	480.7368
`pop_2024`	Population count	integer	SEL	0%	1	81996
`pop_density_2024`	Population density	float	SEL	0%	1	170.56

1 Admin 1 — 1 table(s)

SYC LandScan - Population Admin1 (admin_1) — 26 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SYC, SYC, SYC, SYC, SYC
`admin_level`	Admin level	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`admin_name`	Admin name	string	SEL	0%	26	Anse Etoil, Au Cap, Anse Royal, Plaisance, Bel Ombre
`admin_code`	Admin code	string	SEL	0%	26	4304713B87843643892528, 4304713B21107318630465,...
`area_sqkm`	Area sqkm	float	SEL	0%	26	6.3878, 8.8883, 6.7301, 3.6128, 9.7426
`pop_2024`	Population count	integer	SEL	0%	26	7091, 6016, 4639, 3997, 3775
`pop_density_2024`	Population density	float	SEL	0%	26	1110.08, 676.84, 689.29, 1106.34, 387.47

SYC OpenFactBook SYC-OPENFACTBOOK Country Profile

13 rows · 13 table(s) OpenFactBook 0 1 2 3 89 SEL 2 CCL 496 ext ▶

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0 Admin 0 — 13 table(s)

SYC OpenFactBook - Communications — 1 rows, 22 columns

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Field details — 22 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	14.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	192.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.sc
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	87.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	31.0
`country_code`	Country code	string	SEL	0%	1	SYC
`country_name`	Country name	string	SEL	0%	1	Seychelles
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (14) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	18,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	18000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	14 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	165,000 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	165000.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	192 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	state-run national broadcaster Seychelles Broadcasting...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	2.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	87% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	39,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	39000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	31 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	africa/se.json

SYC OpenFactBook - Economy — 1 rows, 135 columns

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Field details — 135 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`real_gdp_per_capita_real_gdp_per_capita_2024_numeric`	Real gdp per capita 2024 (numeric)	float	SEL	0%	1	29200.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	2.167
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	25.3
`country_code`	Country code	string	SEL	0%	1	SYC
`country_name`	Country name	string	SEL	0%	1	Seychelles
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (129) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	high-income Indian Ocean island economy; rapidly growing...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$3.549 billion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	3.549
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$3.43 billion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	3.43
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$3.354 billion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	3.354
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	Real gdp growth rate 2024 (text)	string	0%	1	3.5% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	3.5
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	2.3% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	2.3
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	12.7% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	12.7
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	0%	1	note: annual GDP % growth based on constant local currency
`real_gdp_per_capita_real_gdp_per_capita_2024_text`	Real gdp per capita 2024 (text)	string	0%	1	$29,200 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$28,600 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	28600.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$28,000 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	28000.0
`real_gdp_per_capita_note`	real_gdp_per_capita_note	string	0%	1	note: data in 2021 dollars
`gdp_official_exchange_rate_text`	gdp_official_exchange_rate_text	string	0%	1	$2.167 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	0.3% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	0.3
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	-1% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	-1.0
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	2.6% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	2.6
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
`gdp_composition_by_sector_of_origin_agriculture_text`	gdp_composition_by_sector_of_origin_agriculture_text	string	0%	1	2.5% (2024 est.)
+99 more extension fields — download the CSV/Parquet to see them all.

SYC OpenFactBook - Energy — 1 rows, 25 columns

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Field details — 25 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`electricity_access_electrification_total_population_numeric`	Electricity access percent	float	SEL	0%	1	100.0
`country_code`	Country code	string	SEL	0%	1	SYC
`country_name`	Country name	string	SEL	0%	1	Seychelles
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (21) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	100% (2022 est.)
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	156,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	156000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	581.227 million kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	581.227
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	44.034 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	44.034
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	86.4% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	86.4
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	12.7% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	12.7
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	1% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	1.0
`coal_imports_text`	coal_imports_text	string	0%	1	500 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	500.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	6,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	6000.0
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text	string	0%	1	98.847 million Btu/person (2023 est.)
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric	float	0%	1	98.847
`source_section`	source_section	string	0%	1	Energy
`source_profile_path`	source_profile_path	string	0%	1	africa/se.json

SYC OpenFactBook - Environment — 1 rows, 43 columns

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Field details — 43 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	3.4
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	58.6
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	58.8
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.99
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	48000.0
`country_code`	Country code	string	SEL	0%	1	SYC
`country_name`	Country name	string	SEL	0%	1	Seychelles
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	limited freshwater resources; water pollution; biodiversity
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Biodiversity, Climate Change, Climate Change-Kyoto...
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	none of the selected agreements
`climate_text`	climate_text	string	0%	1	tropical marine; humid; cooler season during southeast...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	3.4% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 0.3% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	0.3
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	3.0
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 0% (2022 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	0.0
`land_use_forest_text`	land_use_forest_text	string	0%	1	58.6% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	38% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	38.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	58.8% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.99% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	893,000 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	893000.0
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	92 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1	92.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	893,000 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric	float	0%	1	893000.0
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	17.4 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	17.4
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	48,000 tons (2024 est.)
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_text`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_text	string	0%	1	24.4% (2022 est.)
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric	float	0%	1	24.4
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	9 million cubic meters (2022 est.)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	9.0
`total_water_withdrawal_industrial_text`	total_water_withdrawal_industrial_text	string	0%	1	3.8 million cubic meters (2022 est.)
+5 more extension fields — download the CSV/Parquet to see them all.

SYC OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SYC
`country_name`	Country name	string	SEL	0%	1	Seychelles
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	Seychellois (singular and plural)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Seychellois
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	predominantly Creole (mainly of East African and...
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/se.json

SYC OpenFactBook - Geography — 1 rows, 55 columns

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Field details — 55 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	455.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	455.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	0.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	0.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	491.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	905.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	0.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	3.4
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	58.6
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	3.0
`country_code`	Country code	string	SEL	0%	1	SYC
`country_name`	Country name	string	SEL	0%	1	Seychelles
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (42) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	archipelago in the Indian Ocean, northeast of Madagascar
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	4 35 S, 55 40 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	4.0
`map_references_text`	map_references_text	string	0%	1	Africa
`area_total_text`	area_total_text	string	0%	1	455 sq km
`area_land_text`	area_land_text	string	0%	1	455 sq km
`area_water_text`	area_water_text	string	0%	1	0 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	2.5 times the size of Washington, D.C.
`area_comparative_numeric`	area_comparative_numeric	float	0%	1	2.5
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	0 km
`coastline_text`	coastline_text	string	0%	1	491 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0
`maritime_claims_contiguous_zone_text`	maritime_claims_contiguous_zone_text	string	0%	1	24 nm
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	0%	1	24.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	200 nm
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0
`maritime_claims_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1	200 nm or to the edge of the continental margin
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	tropical marine; humid; cooler season during southeast...
`terrain_text`	terrain_text	string	0%	1	Mahe Group is volcanic with a narrow coastal strip and...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Morne Seychellois 905 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Indian Ocean 0 m
`natural_resources_text`	natural_resources_text	string	0%	1	fish, coconuts (copra), cinnamon trees
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	3.4% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 0.3% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	0.3
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	3.0
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 0% (2022 est.)
+12 more extension fields — download the CSV/Parquet to see them all.

SYC OpenFactBook - Government — 1 rows, 102 columns

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Field details — 102 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SYC
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (100) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	Republic of Seychelles
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Seychelles
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Republic of Seychelles
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Seychelles
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	named by French Captain Corneille Nicholas MORPHEY after...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	1756.0
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Victoria
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	4 37 S, 55 27 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	4.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+4 (9 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	4.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the British named the town Port Victoria in 1841 after...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	1841.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	27 administrative districts; Anse aux Pins, Anse...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	27.0
`legal_system_text`	legal_system_text	string	0%	1	mixed system of English common law, French civil law,...
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1970, 1979; latest drafted May 1993, approved...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1970.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the National Assembly; passage requires at...
`constitution_amendment_process_numeric`	constitution_amendment_process_numeric	float	0%	1	60.0
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	has not submitted an ICJ jurisdiction declaration;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	no
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	at least one parent must be a citizen of the Seychelles
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	no
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	5 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	5.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	President Patrick HERMINIE (since 26 October 2025)
+70 more extension fields — download the CSV/Parquet to see them all.

SYC OpenFactBook - Introduction — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SYC
`country_name`	Country name	string	SEL	0%	1	Seychelles
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`background_text`	background_text	string	0%	1	Seychelles was uninhabited before Europeans discovered...
`background_numeric`	background_numeric	float	0%	1	16.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/se.json

SYC OpenFactBook - Languages — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SYC
`country_name`	Country name	string	SEL	0%	1	Seychelles
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`languages_text`	languages_text	string	0%	1	Seychellois Creole (official) 89.1%, English (official)...
`languages_numeric`	languages_numeric	float	0%	1	89.1
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	africa/se.json

SYC OpenFactBook - Military And Security — 1 rows, 25 columns

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Field details — 25 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SYC
`country_name`	Country name	string	SEL	0%	1	Seychelles
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	Seychelles People's Defense Forces (SPDF; aka Seychelles...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	1.5% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	1.5
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	1.6% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	1.6
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	1.4% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	1.4
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1.5% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.5
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	1.6% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	1.6
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 500 active Defense Forces (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	500.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the SDF is lightly armed; its inventory consists of...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	1970.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	18-35 years of age for voluntary military service for...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_note_text`	military_note_text	string	0%	1	formed in 1977, the SDF is one of the World's smallest...
`military_note_numeric`	military_note_numeric	float	0%	1	1977.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	africa/se.json

SYC OpenFactBook - People And Society — 1 rows, 121 columns

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Field details — 121 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	98187.0
`population_male_numeric`	Population male	float	SEL	0%	1	50973.0
`population_female_numeric`	Population female	float	SEL	0%	1	47214.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	17.7
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	72.4
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	10.0
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	38.2
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	24.4
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	13.8
`median_age_total_numeric`	Median age	float	SEL	0%	1	39.2
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.53
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	11.59
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	7.02
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	0.71
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	58.8
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.99
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.03
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	1.08
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	42.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	10.0
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	76.6
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.8
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.89
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	2.25
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	3.2
`country_code`	Country code	string	SEL	0%	1	SYC
`country_name`	Country name	string	SEL	0%	1	Seychelles
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (93) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	98,187 (2024 est.)
`population_male_text`	population_male_text	string	0%	1	50,973
`population_female_text`	population_female_text	string	0%	1	47,214
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	17.7% (male 8,912/female 8,439)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	72.4% (male 37,841/female 33,210)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	10% (2024 est.) (male 4,220/female 5,565)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	38.2 (2024 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	24.4 (2024 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	13.8 (2024 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	7.3 (2024 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	7.3
`median_age_total_text`	median_age_total_text	string	0%	1	39.2 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	38.2 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	38.2
`median_age_female_text`	median_age_female_text	string	0%	1	39.4 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	39.4
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.53% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	11.59 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	7.02 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	0.71 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	more than three quarters of the population lives on the...
`population_distribution_numeric`	population_distribution_numeric	float	0%	1	10.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	58.8% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.99% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	28,000 VICTORIA (capital) (2018)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	28000.0
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.03 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.06 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.06
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1.14 male(s)/female
+63 more extension fields — download the CSV/Parquet to see them all.

SYC OpenFactBook - Religions — 1 rows, 23 columns

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Field details — 23 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SYC
`country_name`	Country name	string	SEL	0%	1	Seychelles
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_hindu_pct_synth`	Hindu	numeric	CCL	0%	-	2.4
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	1.6

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`religions_text`	religions_text	string	0%	1	Roman Catholic 76.2%, Protestant 10.5% (Anglican 6.1%,...
`religions_numeric`	religions_numeric	float	0%	1	76.2
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/se.json

Pending (14) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	76.2
`composition_religion_protestant_pct_synth`	Protestant	numeric	0%	-	10.5
`composition_religion_protestant__anglican_pct_synth`	Anglican	numeric	0%	-	6.1
`composition_religion_protestant__pentecostal_assembly_pct_synth`	Pentecostal Assembly	numeric	0%	-	1.5
`composition_religion_protestant__seventh_day_adventist_pct_synth`	Seventh Day Adventist	numeric	0%	-	1.2
`composition_religion_protestant__other_protestant_pct_synth`	other Protestant	numeric	0%	-	1.7
`composition_religion_other_christian_pct_synth`	other Christian	numeric	0%	-	2.4
`composition_religion_other_non_christian_pct_synth`	other non-Christian	numeric	0%	-	1.1
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	4.8
`composition_religion_none_pct_synth`	none	numeric	0%	-	0.9
`composition_ethnicity_predominantly_creole_mainly_of_east_african_and_malagasy_heritage_also_french_pct_synth`	predominantly Creole (mainly of East African and Malagasy heritage); also French	numeric	0%	-	-
`composition_ethnicity_indian_pct_synth`	Indian	numeric	0%	-	-
`composition_ethnicity_chinese_pct_synth`	Chinese	numeric	0%	-	-
`composition_ethnicity_arab_populations_pct_synth`	Arab populations	numeric	0%	-	-

SYC OpenFactBook - Transportation — 1 rows, 28 columns

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Field details — 28 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	SEL+	0%	1	S7
`airports_numeric`	Airports count	float	SEL	0%	1	16.0
`country_code`	Country code	string	SEL	0%	1	SYC
`country_name`	Country name	string	SEL	0%	1	Seychelles
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (23) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	7.0
`airports_text`	airports_text	string	0%	1	16 (2025)
`heliports_text`	heliports_text	string	0%	1	6 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	6.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	30 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	30.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	general cargo 6, oil tanker 6, other 18
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	6.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	1 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	1.0
`ports_large_text`	ports_large_text	float	0%	1	0
`ports_large_numeric`	ports_large_numeric	float	0%	1	0.0
`ports_medium_text`	ports_medium_text	float	0%	1	0
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	0.0
`ports_small_text`	ports_small_text	float	0%	1	0
`ports_small_numeric`	ports_small_numeric	float	0%	1	0.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	1
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	1.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	1
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	1.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Victoria
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	africa/se.json

SYC Glottolog Language Catalog SYC-GLOTTOLOG Language

2 rows · 1 table(s) Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 3 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

SYC Glottolog - Languages — 2 rows, 16 columns

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Field details — 16 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	2	sese1246, seyc1234
`name`	Name	string	CCL	0%	2	Seselwa Creole French, Seychelles Sign Language
`iso639_3`	Iso639 3	string	CCL	0%	2	crs, lsw
`level`	Level	string	CCL	0%	1	language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	2	indo1319, sign1238
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	2	isle1246, deaf1237
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	1	['SC'], ['SC']
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	1	0, 0

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	2	-4.62314, -4.62
`longitude`	longitude	float	0%	2	55.4503, 55.45
`classification`	classification	string	0%	1	[], []

SYC NGA GEOnet Names Server (GNS) SYC-NGA_GNS Language

1 rows · 1 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 3 SEL 4 CCL 18 ext ▶

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0 Admin 0 — 1 table(s)

SYC Nga Gns - Summary — 1 rows, 25 columns

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Field details — 25 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	SYC
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Seychelles
`gns_language_count`	gns_language_count	integer	CCL	0%	1	0
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	100.0
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	581
`gns_feature_count`	gns_feature_count	integer	0%	1	366
`gns_endonym_count`	gns_endonym_count	integer	0%	1	581
`gns_exonym_count`	gns_exonym_count	integer	0%	1	0
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	41
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	30
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	172
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	128
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	321
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	167
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	20
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	14
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	26
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	26
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	1
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	1

SYC Global Organized Crime Index SYC-OCINDEX Crime Index

1 rows · 1 table(s) GI-TOC / ENACT 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

SYC Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 35 fields (type, nulls, unique, samples)

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	0%	1	-
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1	-
`oc_criminality`	oc_criminality	numeric	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	0%	1	-
`oc_economic_regulatory_capacity`	oc_economic_regulatory_capacity	numeric	0%	1	-
`oc_extortion_and_protection_racketeering`	oc_extortion_and_protection_racketeering	numeric	0%	1	-
`oc_fauna_crimes`	oc_fauna_crimes	numeric	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	0%	1	-
`oc_flora_crimes`	oc_flora_crimes	numeric	0%	1	-
`oc_foreign_actors`	oc_foreign_actors	numeric	0%	1	-
`oc_government_transparency_and_accountability`	oc_government_transparency_and_accountability	numeric	0%	1	-
`oc_heroin_trade`	oc_heroin_trade	numeric	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	0%	1	-
`oc_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	numeric	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	0%	1	-
`oc_mafia_style_groups`	oc_mafia_style_groups	numeric	0%	1	-
`oc_national_policies_and_laws`	oc_national_policies_and_laws	numeric	0%	1	-
`oc_non_renewable_resource_crimes`	oc_non_renewable_resource_crimes	numeric	0%	1	-
`oc_non_state_actors`	oc_non_state_actors	numeric	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	0%	1	-
`oc_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
+5 more extension fields — download the CSV/Parquet to see them all.

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Global Data Lab	academic	api
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Glottolog Language Catalog	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
World Bank Open Data	international_organization	api
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
OpenFactBook	community_compilation	bulk_download

HERA · Human Entity Reference Atlas by Masego Inc

Build a download