Sao Tome and Principe

STP UNHCR Refugee Data Finder STP-UNHCR Migration

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

STP 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%	-	-

STP 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%	-	-

STP World Bank Open Data STP-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)

STP 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	ST, ST, ST, ST, ST
`population_count`	Population count	float	SEL	2%	65	68012.0, 68707.0, 69403.0, 70112.0, 70865.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	43.564, 45.193, 46.843, 48.4, 49.739
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	17%	55	479.373226585893, 470.047210516664, 511.225883278212,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	92%	5	57.3199996948242, 73.2399978637695, 84.9100036621094,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	11%	57	95.6, 92.9, 90.4, 88.5, 87.1
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	99%	1	55.5

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	Sao Tome and Principe, Sao Tome and Principe, Sao Tome...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

STP 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	ST, ST, ST, ST, ST
`life_expectancy`	Life expectancy	float	SEL	3%	64	43.564, 45.193, 46.843, 48.4, 49.739
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	41%	38	26.2, 26.6, 26.4, 26.5, 26.3
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	11%	57	95.6, 92.9, 90.4, 88.5, 87.1
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	30	159.0, 175.0, 161.0, 157.0, 167.0
`fertility_rate`	Fertility rate	float	SEL	3%	63	6.242, 6.263, 6.284, 6.306, 6.327
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	44.558, 44.637, 42.747, 41.073, 39.681
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	63	21.812, 20.512, 19.327, 18.115, 17.097
`physicians_per_1000`	Physicians per 1000	float	SEL	80%	13	0.3, 0.233, 0.438, 0.419, 0.537
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	94%	4	40.3154563903809, 26.7122993469238, 4.7372999191, 2.91
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	33%	24	42.0, 34.0, 26.0, 49.0, 48.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	9.31892776, 9.64001942, 9.49860477, 11.46527386, 10.7211771

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	Sao Tome and Principe, Sao Tome and Principe, Sao Tome...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

STP Global Data Lab STP-GDL Development Indices

95 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)

STP GDL - Subnational Indices — 95 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	STP, STP, STP, STP, STP
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	5	Total, Regiao Centro, Regiao do Principe, Regiao Norte,...
`human_development_index`	Human development index	float	SEL	0%	74	0.572, 0.596, 0.581, 0.528, 0.531
`health_index`	Health index	float	SEL	0%	74	0.653, 0.655, 0.684, 0.627, 0.676
`education_index`	Education index	float	SEL	0%	78	0.521, 0.558, 0.542, 0.46, 0.447
`income_index`	Income index	float	SEL	0%	67	0.551, 0.581, 0.53, 0.511, 0.497
`life_expectancy`	Life expectancy	float	SEL	0%	93	62.43, 62.58, 64.47, 60.77, 63.91
`mean_years_schooling`	Mean years schooling	float	SEL	0%	81	7.817, 8.572, 7.834, 6.559, 6.425

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	19	2005, 2005, 2005, 2005, 2005
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

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

20 rows · 3 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 15 SEL ▶

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0 Admin 0 — 1 table(s)

STP Cod Ps - Stp Codps (admin_0) — 1 rows, 53 columns

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Field details — 53 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	ST
`region_name`	Region name	string	SEL	0%	1	Sao Tome and Principe
`F_TL`	Female population	integer	SEL	0%	1	110854
`M_TL`	Male population	integer	SEL	0%	1	108723
`T_TL`	Total population	integer	SEL	0%	1	219577

Pending (48) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2022
`year`	year	integer	0%	1	2022
`F_00_04`	Female population age 0-4	integer	0%	1	16778
`F_05_09`	Female population age 5-9	integer	0%	1	15368
`F_10_14`	Female population age 10-14	integer	0%	1	13594
`F_15_19`	Female population age 15-19	integer	0%	1	12123
`F_20_24`	Female population age 20-24	integer	0%	1	10398
`F_25_29`	Female population age 25-29	integer	0%	1	8746
`F_30_34`	Female population age 30-34	integer	0%	1	7326
`F_35_39`	Female population age 35-39	integer	0%	1	5887
`F_40_44`	Female population age 40-44	integer	0%	1	4779
`F_45_49`	Female population age 45-49	integer	0%	1	3821
`F_50_54`	Female population age 50-54	integer	0%	1	3134
`F_55_59`	Female population age 55-59	integer	0%	1	2338
`F_60_64`	Female population age 60-64	integer	0%	1	1850
`F_65_69`	Female population age 65-69	integer	0%	1	1401
`F_70Plus`	F_70Plus	integer	0%	1	3311
`M_00_04`	Male population age 0-4	integer	0%	1	16911
`M_05_09`	Male population age 5-9	integer	0%	1	15471
`M_10_14`	Male population age 10-14	integer	0%	1	13765
`M_15_19`	Male population age 15-19	integer	0%	1	12345
`M_20_24`	Male population age 20-24	integer	0%	1	10299
`M_25_29`	Male population age 25-29	integer	0%	1	8606
`M_30_34`	Male population age 30-34	integer	0%	1	7064
`M_35_39`	Male population age 35-39	integer	0%	1	5615
`M_40_44`	Male population age 40-44	integer	0%	1	4574
`M_45_49`	Male population age 45-49	integer	0%	1	3497
`M_50_54`	Male population age 50-54	integer	0%	1	2888
`M_55_59`	Male population age 55-59	integer	0%	1	2071
+18 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

STP Cod Ps - Stp Codps (admin_1) — 2 rows, 53 columns

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Field details — 53 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	2	ST01, ST02
`region_name`	Region name	string	SEL	0%	2	Príncipe, São Tomé
`F_TL`	Female population	integer	SEL	0%	2	4467, 106387
`M_TL`	Male population	integer	SEL	0%	2	4684, 104039
`T_TL`	Total population	integer	SEL	0%	2	9151, 210426

Pending (48) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1
`year`	Reference year	integer	0%	1	2022, 2022
`year`	year	integer	0%	1	2022, 2022
`F_00_04`	Female population age 0-4	integer	0%	2	695, 16083
`F_05_09`	Female population age 5-9	integer	0%	2	677, 14691
`F_10_14`	Female population age 10-14	integer	0%	2	581, 13013
`F_15_19`	Female population age 15-19	integer	0%	2	517, 11606
`F_20_24`	Female population age 20-24	integer	0%	2	366, 10032
`F_25_29`	Female population age 25-29	integer	0%	2	320, 8426
`F_30_34`	Female population age 30-34	integer	0%	2	282, 7044
`F_35_39`	Female population age 35-39	integer	0%	2	241, 5646
`F_40_44`	Female population age 40-44	integer	0%	2	177, 4602
`F_45_49`	Female population age 45-49	integer	0%	2	169, 3652
`F_50_54`	Female population age 50-54	integer	0%	2	105, 3029
`F_55_59`	Female population age 55-59	integer	0%	2	97, 2241
`F_60_64`	Female population age 60-64	integer	0%	2	60, 1790
`F_65_69`	Female population age 65-69	integer	0%	2	60, 1341
`F_70Plus`	F_70Plus	integer	0%	2	120, 3191
`M_00_04`	Male population age 0-4	integer	0%	2	727, 16184
`M_05_09`	Male population age 5-9	integer	0%	2	643, 14828
`M_10_14`	Male population age 10-14	integer	0%	2	597, 13168
`M_15_19`	Male population age 15-19	integer	0%	2	479, 11866
`M_20_24`	Male population age 20-24	integer	0%	2	381, 9918
`M_25_29`	Male population age 25-29	integer	0%	2	368, 8238
`M_30_34`	Male population age 30-34	integer	0%	2	331, 6733
`M_35_39`	Male population age 35-39	integer	0%	2	290, 5325
`M_40_44`	Male population age 40-44	integer	0%	2	201, 4373
`M_45_49`	Male population age 45-49	integer	0%	2	168, 3329
`M_50_54`	Male population age 50-54	integer	0%	2	121, 2767
`M_55_59`	Male population age 55-59	integer	0%	2	88, 1983
+18 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

STP Cod Ps - Stp Codps (admin_2) — 7 rows, 53 columns

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Field details — 53 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	7	ST0101, ST0201, ST0202, ST0203, ST0204
`region_name`	Region name	string	SEL	0%	7	Região Autónoma do Príncipe, Agua Grande, Cantagalo, Caue, Lemba
`F_TL`	Female population	integer	SEL	0%	7	4467, 43738, 10394, 3776, 8568
`M_TL`	Male population	integer	SEL	0%	7	4684, 40560, 10663, 4070, 9081
`T_TL`	Total population	integer	SEL	0%	7	9151, 84298, 21057, 7846, 17649

Pending (48) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	Reference year	integer	0%	1	2022, 2022, 2022, 2022, 2022
`year`	year	integer	0%	1	2022, 2022, 2022, 2022, 2022
`F_00_04`	Female population age 0-4	integer	0%	7	695, 6162, 1677, 621, 1491
`F_05_09`	Female population age 5-9	integer	0%	7	677, 5415, 1607, 604, 1311
`F_10_14`	Female population age 10-14	integer	0%	7	581, 5161, 1326, 511, 1088
`F_15_19`	Female population age 15-19	integer	0%	7	517, 4927, 1109, 397, 905
`F_20_24`	Female population age 20-24	integer	0%	7	366, 4414, 880, 299, 725
`F_25_29`	Female population age 25-29	integer	0%	7	320, 3769, 750, 237, 629
`F_30_34`	Female population age 30-34	integer	0%	7	282, 3068, 641, 238, 529
`F_35_39`	Female population age 35-39	integer	0%	7	241, 2436, 517, 198, 439
`F_40_44`	Female population age 40-44	integer	0%	7	177, 1983, 456, 157, 366
`F_45_49`	Female population age 45-49	integer	0%	7	169, 1589, 345, 131, 270
`F_50_54`	Female population age 50-54	integer	0%	7	105, 1341, 276, 104, 212
`F_55_59`	Female population age 55-59	integer	0%	7	97, 981, 201, 69, 157
`F_60_64`	Female population age 60-64	integer	0%	7	60, 714, 167, 78, 131
`F_65_69`	Female population age 65-69	integer	0%	7	60, 516, 133, 40, 113
`F_70Plus`	F_70Plus	integer	0%	7	120, 1262, 309, 92, 202
`M_00_04`	Male population age 0-4	integer	0%	7	727, 6184, 1716, 634, 1509
`M_05_09`	Male population age 5-9	integer	0%	7	643, 5543, 1508, 586, 1369
`M_10_14`	Male population age 10-14	integer	0%	7	597, 4895, 1410, 563, 1189
`M_15_19`	Male population age 15-19	integer	0%	7	479, 4585, 1230, 469, 992
`M_20_24`	Male population age 20-24	integer	0%	7	381, 4021, 955, 320, 821
`M_25_29`	Male population age 25-29	integer	0%	7	368, 3373, 789, 291, 681
`M_30_34`	Male population age 30-34	integer	0%	7	331, 2777, 685, 239, 571
`M_35_39`	Male population age 35-39	integer	0%	7	290, 2122, 529, 201, 505
`M_40_44`	Male population age 40-44	integer	0%	7	201, 1789, 476, 181, 352
`M_45_49`	Male population age 45-49	integer	0%	7	168, 1402, 318, 133, 276
`M_50_54`	Male population age 50-54	integer	0%	7	121, 1159, 248, 122, 228
`M_55_59`	Male population age 55-59	integer	0%	7	88, 802, 219, 87, 148
+18 more pending fields — download the CSV/Parquet to see them all.

STP OpenFactBook STP-OPENFACTBOOK Country Profile

13 rows · 13 table(s) OpenFactBook 0 1 2 3 90 SEL 1 CCL 515 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 — 13 table(s)

STP 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	1.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	87.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.st
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	62.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	3.0
`country_code`	Country code	string	SEL	0%	1	STP
`country_name`	Country name	string	SEL	0%	1	Sao Tome and Principe
`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	2,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	2000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	1 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	152,000 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	152000.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	87 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	1 state-owned TV station; 2 state-owned radio stations;...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	1.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	62% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	6,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	6000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	3 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	africa/tp.json

STP OpenFactBook - Economy — 1 rows, 151 columns

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Field details — 151 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	5500.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	764.274
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	55.5
`country_code`	Country code	string	SEL	0%	1	STP
`country_name`	Country name	string	SEL	0%	1	Sao Tome and Principe
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (145) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	lower middle-income Central African island economy;...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	90.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$1.291 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	1.291
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$1.279 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	1.279
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$1.275 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	1.275
`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	0.9% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	0.9
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	0.4% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	0.4
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	0.2% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	0.2
`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	$5,500 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$5,500 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	5500.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$5,600 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	5600.0
`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	$764.274 million (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	14.4% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	14.4
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	21.3% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	21.3
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	18% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	18.0
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+115 more extension fields — download the CSV/Parquet to see them all.

STP 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	78.0
`country_code`	Country code	string	SEL	0%	1	STP
`country_name`	Country name	string	SEL	0%	1	Sao Tome and Principe
`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	78% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	80%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	80.0
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	73.7%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	73.7
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	29,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	29000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	47.05 million kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	47.05
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	40.95 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	40.95
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	93.2% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	93.2
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	6.8% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	6.8
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	1,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	1000.0
`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	8.875 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	8.875
`source_section`	source_section	string	0%	1	Energy
`source_profile_path`	source_profile_path	string	0%	1	africa/tp.json

STP 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	44.8
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	57.5
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	76.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.96
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	25600.0
`country_code`	Country code	string	SEL	0%	1	STP
`country_name`	Country name	string	SEL	0%	1	Sao Tome and Principe
`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	deforestation and illegal logging; soil erosion and...
`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	Comprehensive Nuclear Test Ban
`climate_text`	climate_text	string	0%	1	tropical; hot, humid; one rainy season (October to May)
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	44.8% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 4.2% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	4.2
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 39.6% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	39.6
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 1% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	1.0
`land_use_forest_text`	land_use_forest_text	string	0%	1	57.5% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	0% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	0.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	76.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.96% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	146,000 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	146000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	146,000 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	146000.0
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	29 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	29.0
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	25,600 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	16.9% (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	16.9
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	14.7 million cubic meters (2022 est.)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	14.7
`total_water_withdrawal_industrial_text`	total_water_withdrawal_industrial_text	string	0%	1	600,000 cubic meters (2022 est.)
`total_water_withdrawal_industrial_numeric`	total_water_withdrawal_industrial_numeric	float	0%	1	600000.0
`total_water_withdrawal_agricultural_text`	total_water_withdrawal_agricultural_text	string	0%	1	25.6 million cubic meters (2022 est.)
+5 more extension fields — download the CSV/Parquet to see them all.

STP 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	STP
`country_name`	Country name	string	SEL	0%	1	Sao Tome and Principe
`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	Sao Tomean(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Sao Tomean
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Mestico, Angolares (descendants of Angolan slaves),...
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/tp.json

STP OpenFactBook - Geography — 1 rows, 49 columns

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Field details — 49 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	964.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	964.0
`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	209.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	2024.0
`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	44.8
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	57.5
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	100.0
`country_code`	Country code	string	SEL	0%	1	STP
`country_name`	Country name	string	SEL	0%	1	Sao Tome and Principe
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (36) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Central Africa, islands in the Gulf of Guinea, just...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	1 00 N, 7 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	1.0
`map_references_text`	map_references_text	string	0%	1	Africa
`area_total_text`	area_total_text	string	0%	1	964 sq km
`area_land_text`	area_land_text	string	0%	1	964 sq km
`area_water_text`	area_water_text	string	0%	1	0 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	more than five times the size of Washington, D.C.
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	0 km
`coastline_text`	coastline_text	string	0%	1	209 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_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_note`	maritime_claims_note	string	0%	1	note: measured from claimed archipelagic baselines
`climate_text`	climate_text	string	0%	1	tropical; hot, humid; one rainy season (October to May)
`terrain_text`	terrain_text	string	0%	1	volcanic, mountainous
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Pico de Sao Tome 2,024 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Atlantic Ocean 0 m
`natural_resources_text`	natural_resources_text	string	0%	1	fish, hydropower
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	44.8% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 4.2% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	4.2
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 39.6% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	39.6
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 1% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	1.0
`land_use_forest_text`	land_use_forest_text	string	0%	1	57.5% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	0% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	0.0
+6 more extension fields — download the CSV/Parquet to see them all.

STP OpenFactBook - Government — 1 rows, 93 columns

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Field details — 93 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	STP
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (91) — 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	Democratic Republic of Sao Tome and Principe
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Sao Tome and Principe
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Republica Democratica de Sao Tome e Principe
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Sao Tome e Principe
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	Sao Tome was named after Saint THOMAS the Apostle by the...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	21.0
`government_type_text`	government_type_text	string	0%	1	semi-presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Sao Tome
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	0 20 N, 6 44 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	0.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC 0 (5 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	0.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	named after Saint THOMAS the Apostle by the Portuguese,...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	21.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	6 districts (distritos, singular - distrito), 1...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	6.0
`legal_system_text`	legal_system_text	string	0%	1	mixed system of civil law based on the Portuguese model...
`constitution_history_text`	constitution_history_text	string	0%	1	approved 5 November 1975
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	5.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the National Assembly; passage requires...
`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 Sao Tome and Principe
`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 Carlos Manuel VILA NOVA (since 2 October 2021)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	2.0
+61 more extension fields — download the CSV/Parquet to see them all.

STP 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	STP
`country_name`	Country name	string	SEL	0%	1	Sao Tome and Principe
`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	Portugal discovered and colonized the uninhabited Sao...
`background_numeric`	background_numeric	float	0%	1	15.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/tp.json

STP 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	STP
`country_name`	Country name	string	SEL	0%	1	Sao Tome and Principe
`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	Portuguese 98.4% (official), Forro 36.2%, Cabo Verdian...
`languages_numeric`	languages_numeric	float	0%	1	98.4
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	africa/tp.json

STP OpenFactBook - Military And Security — 1 rows, 15 columns

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Field details — 15 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	STP
`country_name`	Country name	string	SEL	0%	1	Sao Tome and Principe
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (12) — 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	Armed Forces of Sao Tome and Principe (Forcas Armadas de...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 500 active Armed Forces (2023)
`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 FASTP is lightly armed and has a small inventory of...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	2023.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	limited information; 18 is the minimum age 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	the FASTP is one of the smallest militaries in Africa...
`military_note_numeric`	military_note_numeric	float	0%	1	2024.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	africa/tp.json

STP OpenFactBook - People And Society — 1 rows, 152 columns

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Field details — 152 fields (type, nulls, unique, samples)

Standards-Aligned Fields (29)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	223561.0
`population_male_numeric`	Population male	float	SEL	0%	1	111553.0
`population_female_numeric`	Population female	float	SEL	0%	1	112008.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	36.4
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	60.3
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	3.2
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	65.8
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	60.4
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	5.4
`median_age_total_numeric`	Median age	float	SEL	0%	1	21.2
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	1.39
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	25.87
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	5.84
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-6.15
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	76.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.96
`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	1.0
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	75.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	41.7
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	67.7
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	3.18
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	1.57
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.46
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	2.9
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	87.4
`country_code`	Country code	string	SEL	0%	1	STP
`country_name`	Country name	string	SEL	0%	1	Sao Tome and Principe
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (123) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	223,561 (2024 est.)
`population_male_text`	population_male_text	string	0%	1	111,553
`population_female_text`	population_female_text	string	0%	1	112,008
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	36.4% (male 41,337/female 40,106)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	60.3% (male 67,101/female 67,775)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	3.2% (2024 est.) (male 3,115/female 4,127)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	65.8 (2024 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	60.4 (2024 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	5.4 (2024 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	18.6 (2024 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	18.6
`median_age_total_text`	median_age_total_text	string	0%	1	21.2 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	20.4 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	20.4
`median_age_female_text`	median_age_female_text	string	0%	1	21.2 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	21.2
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	1.39% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	25.87 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	5.84 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-6.15 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	Sao Tome, the capital city, has roughly a quarter of the...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	76.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.96% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	80,000 SAO TOME (capital) (2018)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	80000.0
`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	1.03 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.03
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.99 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.99
+93 more extension fields — download the CSV/Parquet to see them all.

STP OpenFactBook - Religions — 1 rows, 24 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	STP
`country_name`	Country name	string	SEL	0%	1	Sao Tome and Principe
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	6.2

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	Catholic 55.7%, Adventist 4.1%, Assembly of God 3.4%,...
`religions_numeric`	religions_numeric	float	0%	1	55.7
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/tp.json

Pending (16) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_catholic_pct_synth`	Catholic	numeric	0%	-	55.7
`composition_religion_adventist_pct_synth`	Adventist	numeric	0%	-	4.1
`composition_religion_assembly_of_god_pct_synth`	Assembly of God	numeric	0%	-	3.4
`composition_religion_new_apostolic_pct_synth`	New Apostolic	numeric	0%	-	2.9
`composition_religion_mana_pct_synth`	Mana	numeric	0%	-	2.3
`composition_religion_universal_kingdom_of_god_pct_synth`	Universal Kingdom of God	numeric	0%	-	2.0
`composition_religion_jehovah_s_witness_pct_synth`	Jehovah's Witness	numeric	0%	-	1.2
`composition_religion_none_pct_synth`	none	numeric	0%	-	21.2
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	1.0
`composition_ethnicity_mestico_pct_synth`	Mestico	numeric	0%	-	-
`composition_ethnicity_angolares_pct_synth`	Angolares	numeric	0%	-	-
`composition_ethnicity_forros_pct_synth`	Forros	numeric	0%	-	-
`composition_ethnicity_servicais_pct_synth`	Servicais	numeric	0%	-	-
`composition_ethnicity_tongas_pct_synth`	Tongas	numeric	0%	-	-
`composition_ethnicity_europeans_pct_synth`	Europeans	numeric	0%	-	-
`composition_ethnicity_asians_pct_synth`	Asians	numeric	0%	-	-

STP OpenFactBook - Transportation — 1 rows, 26 columns

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Field details — 26 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	S9
`airports_numeric`	Airports count	float	SEL	0%	1	2.0
`country_code`	Country code	string	SEL	0%	1	STP
`country_name`	Country name	string	SEL	0%	1	Sao Tome and Principe
`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
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	9.0
`airports_text`	airports_text	string	0%	1	2 (2025)
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	25 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	25.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	general cargo 15, oil tanker 4, other 6
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	15.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	2 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	2.0
`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	2
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	2.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	0
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	0.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Santo Antonio, Sao Tome
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	africa/tp.json

STP USAID DHS Program STP-DHS Health Surveys

8 rows · 2 table(s) USAID DHS Program 0 1 2 3 7 SEL 3 CCL 10 ext ▶

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

1 Admin 1 — 2 table(s)

STP DHS - Ethnicity Indicators — 4 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	100%	-	-
`women_who_are_literate`	Women who are literate	float	CCL	0%	4	89.3, 76.3, 73.9, 90.7
`men_who_are_literate`	Men who are literate	float	CCL	0%	4	96.3, 89.0, 91.9, 94.4

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Sao Tome and Principe, Sao Tome and Principe, Sao Tome...
`survey_year`	survey_year	integer	0%	1	2008, 2008, 2008, 2008
`region`	region	string	0%	4	Região Centro, Região Norte, Região Sul, Região do Principe
`survey_id`	survey_id	string	0%	1	ST2008DHS, ST2008DHS, ST2008DHS, ST2008DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS

STP DHS - Health Indicators — 4 rows, 12 columns

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Field details — 12 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	4	26.1, 29.9, 26.7, 37.7
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	4	47.0, 61.0, 31.0, 16.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	4	71.0, 85.0, 61.0, 57.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	4	74.8, 71.6, 85.5, 96.4
`children_underweight`	Children underweight	float	CCL	0%	4	12.6, 12.3, 16.3, 13.1
`hiv_prevalence_pct`	Hiv prevalence percent	float	SEL	0%	4	1.4, 2.0, 1.0, 2.2

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Sao Tome and Principe, Sao Tome and Principe, Sao Tome...
`survey_year`	survey_year	integer	0%	1	2008, 2008, 2008, 2008
`region`	region	string	0%	4	Região Centro, Região Norte, Região Sul, Região do Principe
`survey_id`	survey_id	string	0%	1	ST2008DHS, ST2008DHS, ST2008DHS, ST2008DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS

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

5 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 18 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 — 2 table(s)

STP Nga Gns - Language — 4 rows, 9 columns

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Field details — 9 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	STP, STP, STP, STP
`gns_language_code`	gns_language_code	string	CCL	0%	4	por, eng, fra, spa
`gns_language_name`	gns_language_name	string	CCL	0%	4	Portuguese, English, French, Spanish
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	3	1906, 10, 2, 2
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	3	99.2708, 0.5208, 0.1042, 0.1042
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	1	, , ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	1	, , ,
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0, 0, 0, 0

STP 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	STP
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Sao Tome and Principe
`gns_language_count`	gns_language_count	integer	CCL	0%	1	4
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.897
`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	1941
`gns_feature_count`	gns_feature_count	integer	0%	1	1285
`gns_endonym_count`	gns_endonym_count	integer	0%	1	1939
`gns_exonym_count`	gns_exonym_count	integer	0%	1	2
`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_populated_places`	gns_name_count_populated_places	integer	0%	1	736
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	550
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	717
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	397
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	395
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	281
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	24
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	9
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	51
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	32
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	18
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	16

STP Glottolog Language Catalog STP-GLOTTOLOG Language

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

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0 Admin 0 — 1 table(s)

STP Glottolog - Languages — 4 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%	4	ango1258, prin1242, saot1239, saot1241
`name`	Name	string	CCL	0%	4	Angolar, Principense, Sãotomense, Sao Tome and Principe...
`iso639_3`	Iso639 3	string	CCL	25%	3	aoa, pre, cri
`level`	Level	string	CCL	0%	1	language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	2	indo1319, indo1319, indo1319, sign1238
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	3	saot1242, lowe1440, saot1242, deaf1237
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	1	['ST'], ['ST'], ['ST'], ['ST']
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	1	0, 0, 0, 0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	4	0.11438, 1.614, 0.28332, 0.320259
`longitude`	longitude	float	0%	4	6.59486, 7.392, 6.61935, 6.722558
`classification`	classification	string	0%	1	[], [], [], []

STP LandScan Global (ORNL) STP-LANDSCAN Modeled Population

4 rows · 3 table(s) LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 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)

STP 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	STP
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Sao Tome and Principe
`admin_code`	Admin code	string	SEL	0%	1	85558007B40794750917517
`area_sqkm`	Area sqkm	float	SEL	0%	1	990.505
`pop_2024`	Population count	integer	SEL	0%	1	206906
`pop_density_2024`	Population density	float	SEL	0%	1	208.89

1 Admin 1 — 1 table(s)

STP LandScan - Population Admin1 (admin_1) — 2 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	STP, STP
`admin_level`	Admin level	string	SEL	0%	1	admin_1, admin_1
`admin_name`	Admin name	string	SEL	0%	2	São Tomé Province, Príncipe Province
`admin_code`	Admin code	string	SEL	0%	2	19237168B40253326356618, 19237168B82261817076051
`area_sqkm`	Area sqkm	float	SEL	0%	2	851.6761, 138.7976
`pop_2024`	Population count	integer	SEL	0%	2	198176, 8730
`pop_density_2024`	Population density	float	SEL	0%	2	232.69, 62.9

Locality Locality — 1 table(s)

STP LandScan - Cities (locality) — 1 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	STP
`admin_level`	Admin level	string	SEL	0%	1	locality
`admin_name`	Admin name	string	SEL	0%	1	São Tomé
`admin_code`	Admin code	integer	SEL	0%	1	71
`area_sqkm`	Area sqkm	float	SEL	0%	1	34.7655
`pop_2024`	Population count	integer	SEL	0%	1	89050
`pop_density_2024`	Population density	float	SEL	0%	1	2561.45

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

Field Name	Label	Type	Nulls	Unique	Samples
`ghs_pop_2025`	ghs_pop_2025	integer	0%	1	154878
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	1	0.575

STP GHS Urban Centre Database (EU JRC) STP-GHSL_UCDB Modeled Population

1 rows · 1 table(s) GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

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

Locality Locality — 1 table(s)

STP GHS-UCDB - Cities (locality) — 1 rows, 10 columns

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Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	1	São Tomé
`country_code`	Country code	string	SEL	0%	1	STP
`population`	Population count	integer	SEL	0%	1	154878

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	1	71
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	São Tomé and Príncipe
`population_year`	population_year	integer	0%	1	2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

STP Global Organized Crime Index STP-OCINDEX Crime Index

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

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)

STP 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.

HERA · Human Entity Reference Atlas by Masego Inc

Sao Tome and Principe

Build a download

Language	Place names	Share	Script
Portuguese (por)	1,906	99.3%	—
English (eng)	10	0.5%	—
French (fra)	2	0.1%	—
Spanish (spa)	2	0.1%	—

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
NGA GEOnet Names Server (GNS)	official_government	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
World Bank Open Data	international_organization	api
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download