Sao Tome and Principe

STP Glottolog Language Catalog STP-GLOTTOLOG Language

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

0 Admin 0 — 1 table(s)

STP glottolog - languages — 4 rows, 16 columns

Standards-Aligned Fields (16)

Field Name	Type	Schema	Nulls	Unique
`glottocode`	string	CCL	0%	4
`name`	string	SEL	0%	4
`iso639_3`	string	CCL	25%	3
`level`	string	SEL	0%	1
`family_name`	string	CCL	100%	-
`family_glottocode`	string	CCL	0%	2
`parent_name`	string	SEL	100%	-
`parent_glottocode`	string	CCL	0%	3
`endangerment_status`	string	CCL	100%	-
`latitude`	float	CCL	0%	4
`longitude`	float	CCL	0%	4
`country_codes`	string	SEL+	0%	1
`classification`	string	CCL	0%	1
`child_family_count`	integer	CCL	0%	1
`child_language_count`	integer	CCL	0%	1
`child_dialect_count`	integer	CCL	0%	1

STP UNHCR Refugee Data Finder STP-UNHCR Migration

450 rows · 2 table(s) UNHCR Refugee Data Finder 0 1 2 3 48 CCL ▶

0 Admin 0 — 2 table(s)

STP unhcr - hosted_populations — 75 rows, 24 columns

Standards-Aligned Fields (24)

Field Name	Type	Schema	Nulls	Unique
`year`	integer	CCL	0%	75
`country_of_origin`	string	CCL	100%	-
`country_of_origin_iso`	string	CCL	0%	1
`country_of_asylum`	string	CCL	100%	-
`country_of_asylum_iso`	string	CCL	0%	1
`population_type`	string	CCL	100%	-
`refugees`	integer	CCL	0%	75
`asylum_seekers`	integer	CCL	0%	34
`idps`	integer	CCL	0%	34
`stateless`	integer	CCL	0%	23
`others_of_concern`	integer	CCL	0%	30
`total_population`	string	CCL	100%	-
`female_total`	string	CCL	100%	-
`male_total`	string	CCL	100%	-
`female_0_4`	string	CCL	100%	-
`female_5_11`	string	CCL	100%	-
`female_12_17`	string	CCL	100%	-
`female_18_59`	string	CCL	100%	-
`female_60_plus`	string	CCL	100%	-
`male_0_4`	string	CCL	100%	-
`male_5_11`	string	CCL	100%	-
`male_12_17`	string	CCL	100%	-
`male_18_59`	string	CCL	100%	-
`male_60_plus`	string	CCL	100%	-

STP unhcr - origin_populations — 75 rows, 24 columns

Standards-Aligned Fields (24)

Field Name	Type	Schema	Nulls	Unique
`year`	integer	CCL	0%	75
`country_of_origin`	string	CCL	100%	-
`country_of_origin_iso`	string	CCL	0%	1
`country_of_asylum`	string	CCL	100%	-
`country_of_asylum_iso`	string	CCL	0%	1
`population_type`	string	CCL	100%	-
`refugees`	integer	CCL	0%	75
`asylum_seekers`	integer	CCL	0%	34
`idps`	integer	CCL	0%	34
`stateless`	integer	CCL	0%	23
`others_of_concern`	integer	CCL	0%	30
`total_population`	string	CCL	100%	-
`female_total`	string	CCL	100%	-
`male_total`	string	CCL	100%	-
`female_0_4`	string	CCL	100%	-
`female_5_11`	string	CCL	100%	-
`female_12_17`	string	CCL	100%	-
`female_18_59`	string	CCL	100%	-
`female_60_plus`	string	CCL	100%	-
`male_0_4`	string	CCL	100%	-
`male_5_11`	string	CCL	100%	-
`male_12_17`	string	CCL	100%	-
`male_18_59`	string	CCL	100%	-
`male_60_plus`	string	CCL	100%	-

STP Joshua Project STP-JOSHUA_PROJECT Ethnolinguistic

12 rows · 2 table(s) Joshua Project 0 1 2 3 4 SEL 28 CCL ▶

0 Admin 0 — 2 table(s)

STP joshua_project - languages — 1 rows, 7 columns

Standards-Aligned Fields (7)

Field Name	Type	Schema	Nulls	Unique
`language_code`	string	CCL	0%	1
`language_name`	string	SEL	0%	1
`iso639_3`	string	CCL	100%	-
`country_code`	string	SEL+	0%	1
`population`	string	CCL	100%	-
`primary_religion`	string	CCL	0%	1
`people_groups_count`	string	CCL	100%	-

STP joshua_project - people_groups — 5 rows, 25 columns

Standards-Aligned Fields (25)

Field Name	Type	Schema	Nulls	Unique
`people_id`	integer	CCL	0%	5
`rop3_code`	string	CCL	0%	1
`people_name`	string	SEL	0%	5
`people_name_global`	string	CCL	0%	5
`country_code`	string	SEL+	0%	1
`country_name`	string	CCL	0%	1
`continent`	string	CCL	0%	1
`region`	string	CCL	0%	1
`population`	integer	CCL	20%	4
`population_global`	string	CCL	100%	-
`primary_religion`	string	CCL	0%	2
`religion_pct_christianity`	string	CCL	100%	-
`religion_pct_islam`	string	CCL	100%	-
`religion_pct_hinduism`	string	CCL	100%	-
`religion_pct_buddhism`	string	CCL	100%	-
`religion_pct_ethnic`	string	CCL	100%	-
`religion_pct_other`	string	CCL	100%	-
`primary_language`	string	CCL	0%	5
`language_code`	string	CCL	0%	5
`language_iso`	string	CCL	0%	1
`people_cluster`	string	CCL	0%	5
`affinity_bloc`	string	CCL	0%	4
`ethnicity_family`	string	CCL	100%	-
`latitude`	float	CCL	0%	5
`longitude`	float	CCL	0%	5

STP World Bank Open Data STP-WORLD_BANK Development Indicators

264 rows · 2 table(s) World Bank Open Data 0 1 2 3 23 SEL ▶

0 Admin 0 — 2 table(s)

STP world_bank - development_indicators — 66 rows, 9 columns

Standards-Aligned Fields (9)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	SEL+	0%	1
`country_name`	string	SEL	0%	1
`year`	integer	SEL	0%	66
`population_count`	float	SEL	1.5%	65
`life_expectancy`	float	SEL	3%	64
`gdp_per_capita_usd`	float	SEL	16.7%	55
`literacy_rate_pct`	string	SEL	92.4%	5
`under5_mortality_per_1000`	float	SEL	10.6%	57
`poverty_headcount_pct`	string	SEL	98.5%	1

STP world_bank - health_indicators — 66 rows, 14 columns

Standards-Aligned Fields (14)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	SEL+	0%	1
`country_name`	string	SEL	0%	1
`year`	integer	SEL	0%	66
`life_expectancy`	float	SEL	3%	64
`infant_mortality_per_1000`	string	SEL	40.9%	38
`under5_mortality_per_1000`	float	SEL	10.6%	57
`maternal_mortality_per_100k`	string	SEL	40.9%	30
`fertility_rate`	float	SEL	3%	63
`birth_rate_per_1000`	float	SEL	3%	64
`death_rate_per_1000`	float	SEL	3%	63
`physicians_per_1000`	float	SEL	80.3%	13
`hospital_beds_per_1000`	float	SEL	93.9%	4
`vaccination_rate_pct`	string	SEL	33.3%	24
`health_expenditure_pct_gdp`	string	SEL	63.6%	24

STP Global Data Lab STP-GDL Development Indices

190 rows · 1 table(s) Global Data Lab 0 1 2 3 11 SEL ▶

1 Admin 1 — 1 table(s)

STP gdl - subnational_indices — 95 rows, 11 columns

Standards-Aligned Fields (11)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	SEL+	0%	1
`region_code`	string	SEL	100%	-
`region_name`	string	SEL	0%	5
`year`	integer	SEL	0%	19
`level`	string	SEL	0%	2
`human_development_index`	float	SEL	0%	74
`health_index`	float	SEL	0%	74
`education_index`	float	SEL	0%	78
`income_index`	float	SEL	0%	67
`life_expectancy`	float	SEL	0%	93
`mean_years_schooling`	float	SEL	0%	81

STP USAID DHS Program STP-DHS Health Surveys

8 rows · 2 table(s) USAID DHS Program 0 1 2 3 11 SEL 9 CCL ▶

1 Admin 1 — 2 table(s)

STP dhs - ethnicity_indicators — 4 rows, 8 columns

Standards-Aligned Fields (8)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	SEL+	100%	-
`country_name`	string	SEL	0%	1
`survey_year`	integer	SEL	0%	1
`region`	string	CCL	0%	4
`survey_id`	string	CCL	0%	1
`survey_type`	string	CCL	0%	1
`women_who_are_literate`	float	CCL	0%	4
`men_who_are_literate`	float	CCL	0%	4

STP dhs - health_indicators — 4 rows, 12 columns

Standards-Aligned Fields (12)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	SEL+	100%	-
`country_name`	string	SEL	0%	1
`survey_year`	integer	SEL	0%	1
`region`	string	CCL	0%	4
`survey_id`	string	CCL	0%	1
`survey_type`	string	CCL	0%	1
`contraception_modern_pct`	float	SEL	0%	4
`infant_mortality_per_1000`	float	SEL	0%	4
`under5_mortality_per_1000`	float	SEL	0%	4
`vaccination_rate_pct`	float	SEL	0%	4
`children_underweight`	float	CCL	0%	4
`hiv_prevalence_pct`	float	SEL	0%	4

STP Global Organized Crime Index STP-OCINDEX Crime Index

1 rows · 1 table(s) GI-TOC / ENACT 0 1 2 3 1 SEL 34 ext ▶

0 Admin 0 — 1 table(s)

STP Organized Crime Scores 2025 — 1 rows, 35 columns

Standards-Aligned Fields (1)

Field Name	Type	Schema	Nulls	Unique
`oc_non_state_actors`	numeric	SEL	0%	1

Extension Fields (34) — supplemental data preserved outside core SEL/CCL schema

Field Name	Type	Nulls	Unique
`oc_anti_money_laundering`	numeric	0%	1
`oc_arms_trafficking`	numeric	0%	1
`oc_cannabis_trade`	numeric	0%	1
`oc_cocaine_trade`	numeric	0%	1
`oc_criminal_actors`	numeric	0%	1
`oc_criminal_markets`	numeric	0%	1
`oc_criminal_networks`	numeric	0%	1
`oc_criminality`	numeric	0%	1
`oc_cyber_dependent_crimes`	numeric	0%	1
`oc_economic_regulatory_capacity`	numeric	0%	1
`oc_extortion_and_protection_racketeering`	numeric	0%	1
`oc_fauna_crimes`	numeric	0%	1
`oc_financial_crimes`	numeric	0%	1
`oc_flora_crimes`	numeric	0%	1
`oc_foreign_actors`	numeric	0%	1
`oc_government_transparency_and_accountability`	numeric	0%	1
`oc_heroin_trade`	numeric	0%	1
`oc_human_smuggling`	numeric	0%	1
`oc_human_trafficking`	numeric	0%	1
`oc_illicit_trade_in_excisable_goods`	numeric	0%	1
`oc_international_cooperation`	numeric	0%	1
`oc_judicial_system_and_detention`	numeric	0%	1
`oc_law_enforcement`	numeric	0%	1
`oc_mafia_style_groups`	numeric	0%	1
`oc_national_policies_and_laws`	numeric	0%	1
`oc_non_renewable_resource_crimes`	numeric	0%	1
`oc_political_leadership_and_governance`	numeric	0%	1
`oc_prevention`	numeric	0%	1
`oc_private_sector_actors`	numeric	0%	1
`oc_resilience`	numeric	0%	1
`oc_state_embedded_actors`	numeric	0%	1
`oc_synthetic_drug_trade`	numeric	0%	1
`oc_territorial_integrity`	numeric	0%	1
`oc_trade_in_counterfeit_goods`	numeric	0%	1

HERA · Human Entity Reference Atlas by Masego Inc

Sao Tome and Principe

SEL (38 mappings)

CCL (10 mappings)