Tonga

TON Glottolog Language Catalog TON-GLOTTOLOG Language

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

0 Admin 0 — 1 table(s)

TON 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	0%	4
`level`	string	SEL	0%	1
`family_name`	string	CCL	100%	-
`family_glottocode`	string	CCL	0%	1
`parent_name`	string	SEL	100%	-
`parent_glottocode`	string	CCL	0%	2
`endangerment_status`	string	CCL	100%	-
`latitude`	float	CCL	0%	4
`longitude`	float	CCL	0%	4
`country_codes`	string	SEL+	0%	2
`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

TON UNHCR Refugee Data Finder TON-UNHCR Migration

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

0 Admin 0 — 2 table(s)

TON 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%	-

TON 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%	-

TON Joshua Project TON-JOSHUA_PROJECT Ethnolinguistic

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

0 Admin 0 — 2 table(s)

TON joshua_project - languages — 19 rows, 7 columns

Standards-Aligned Fields (7)

Field Name	Type	Schema	Nulls	Unique
`language_code`	string	CCL	0%	19
`language_name`	string	SEL	0%	19
`iso639_3`	string	CCL	100%	-
`country_code`	string	SEL+	0%	1
`population`	string	CCL	100%	-
`primary_religion`	string	CCL	0%	3
`people_groups_count`	string	CCL	100%	-

TON joshua_project - people_groups — 54 rows, 25 columns

Standards-Aligned Fields (25)

Field Name	Type	Schema	Nulls	Unique
`people_id`	integer	CCL	0%	54
`rop3_code`	string	CCL	0%	1
`people_name`	string	SEL	0%	54
`people_name_global`	string	CCL	0%	54
`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	0%	51
`population_global`	string	CCL	100%	-
`primary_religion`	string	CCL	0%	4
`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%	54
`language_code`	string	CCL	0%	54
`language_iso`	string	CCL	0%	1
`people_cluster`	string	CCL	0%	10
`affinity_bloc`	string	CCL	0%	4
`ethnicity_family`	string	CCL	100%	-
`latitude`	float	CCL	0%	54
`longitude`	float	CCL	0%	54

TON World Bank Open Data TON-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)

TON 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	25.8%	49
`literacy_rate_pct`	float	SEL	90.9%	6
`under5_mortality_per_1000`	float	SEL	7.6%	61
`poverty_headcount_pct`	string	SEL	95.5%	3

TON 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	47%	33
`under5_mortality_per_1000`	float	SEL	7.6%	61
`maternal_mortality_per_100k`	string	SEL	40.9%	34
`fertility_rate`	float	SEL	3%	64
`birth_rate_per_1000`	float	SEL	3%	64
`death_rate_per_1000`	float	SEL	3%	60
`physicians_per_1000`	float	SEL	72.7%	18
`hospital_beds_per_1000`	float	SEL	92.4%	5
`vaccination_rate_pct`	string	SEL	31.8%	17
`health_expenditure_pct_gdp`	string	SEL	63.6%	24

TON Global Data Lab TON-GDL Development Indices

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

1 Admin 1 — 1 table(s)

TON gdl - subnational_indices — 204 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%	6
`year`	integer	SEL	0%	17
`level`	string	SEL	0%	2
`human_development_index`	float	SEL	0%	73
`health_index`	float	SEL	0%	17
`education_index`	float	SEL	0%	89
`income_index`	float	SEL	0%	67
`life_expectancy`	float	SEL	0%	17
`mean_years_schooling`	float	SEL	0%	86

TON D-PLACE TON-DPLACE Ethnographic Societies

1 rows · 1 table(s) D-PLACE 0 1 2 3 18 CCL ▶

0 Admin 0 — 1 table(s)

TON dplace - dplace_ea_societies — 1 rows, 18 columns

Standards-Aligned Fields (18)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	CCL	0%	1
`country_name`	string	CCL	0%	1
`society_id`	string	CCL	0%	1
`society_name`	string	CCL	0%	1
`dataset`	string	CCL	0%	1
`region`	string	CCL	0%	1
`latitude`	float	CCL	0%	1
`longitude`	float	CCL	0%	1
`language_glottocode`	string	CCL	0%	1
`language_name`	string	CCL	0%	1
`assignment_method`	string	CCL	0%	1
`assignment_confidence`	string	CCL	0%	1
`kinship_system`	string	CCL	0%	1
`marriage_pattern`	string	CCL	0%	1
`subsistence_pattern`	string	CCL	0%	1
`political_complexity`	string	CCL	0%	1
`religion_importance`	string	CCL	0%	1
`residence_pattern`	string	CCL	0%	1

TON Global Organized Crime Index TON-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)

TON 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

SEL (34 mappings)

CCL (15 mappings)