Vanuatu

VUT SPC Pacific Data Hub (Pacific Community) VUT-SPC Census

7 rows · 2 table(s) · 2016 SPC Pacific Data Hub (Pacific Community) 0 1 2 3 8 SEL ▶

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0 Admin 0 — 1 table(s)

VUT Spc - Vut Census (admin_0) — 1 rows, 7 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Pcode	string	SEL	0%	1	VU
`region_name`	Region Name	string	SEL	0%	1	Vanuatu
`population_count`	Population Count	integer	SEL	0%	1	266555
`households`	Households	integer	SEL	0%	1	55285

Pending (3) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin Level	string	0%	1	admin_0
`year`	Year	integer	0%	1	2016
`avg_household_size`	Avg Household Size	float	0%	1	4.8

1 Admin 1 — 1 table(s)

VUT Spc - Vut Census (admin_1) — 6 rows, 7 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Pcode	string	SEL	0%	6	VU-5, VU-1, VU-2, VU-3, VU-4
`region_name`	Region Name	string	SEL	0%	6	Shefa, Torba, Sanma, Penama, Malampa
`population_count`	Population Count	integer	SEL	0%	6	96405, 9875, 52145, 31334, 39997
`households`	Households	integer	SEL	0%	6	19913, 1960, 10704, 6959, 8896

Pending (3) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin Level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Year	integer	0%	1	2016, 2016, 2016, 2016, 2016
`avg_household_size`	Avg Household Size	float	0%	5	4.8, 5, 4.9, 4.5, 4.5

VUT Vanuatu Health Indicators VUT-HDX-Vanuatu___Health_Indicators Indicators

20,106 rows · 1 table(s) · 2024 OCHA HDX / World Bank 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

VUT Vanuatu Health Indicators — 20,106 rows, 17 columns

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Field details — 17 fields (type, nulls, unique, samples)

Extension Fields (17) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`GHO (CODE)`	GHO (CODE)	text	0%	-	-
`GHO (DISPLAY)`	GHO (DISPLAY)	text	0%	-	-
`GHO (URL)`	GHO (URL)	text	0%	-	-
`YEAR (DISPLAY)`	YEAR (DISPLAY)	text	0%	-	-
`STARTYEAR`	STARTYEAR	text	0%	-	-
`ENDYEAR`	ENDYEAR	text	0%	-	-
`REGION (CODE)`	REGION (CODE)	text	0%	-	-
`REGION (DISPLAY)`	REGION (DISPLAY)	text	0%	-	-
`COUNTRY (CODE)`	COUNTRY (CODE)	text	0%	-	-
`COUNTRY (DISPLAY)`	COUNTRY (DISPLAY)	text	0%	-	-
`DIMENSION (TYPE)`	DIMENSION (TYPE)	text	0%	-	-
`DIMENSION (CODE)`	DIMENSION (CODE)	text	0%	-	-
`DIMENSION (NAME)`	DIMENSION (NAME)	text	0%	-	-
`Numeric`	Numeric	text	0%	-	-
`Value`	Value	text	0%	-	-
`Low`	Low	text	0%	-	-
`High`	High	text	0%	-	-

VUT Vanuatu Education VUT-HDX-Vanuatu___Education Indicators

9,753 rows · 1 table(s) · 2024 OCHA HDX / World Bank 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

VUT Vanuatu Education — 9,753 rows, 1,009 columns

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Field details — 1009 fields (type, nulls, unique, samples)

Extension Fields (1009) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	VUT
`Enrolment_in_pre-primary_education_both_sexes_number`	Enrolment_in_pre-primary_education_both_sexes_number	float	0%	1	14301.0
`Enrolment_in_pre-primary_education_both_sexes_number_year`	Enrolment_in_pre-primary_education_both_sexes_number_year	string	0%	1	2015
`Enrolment_in_pre-primary_education_female_number`	Enrolment_in_pre-primary_education_female_number	float	0%	1	6786.0
`Enrolment_in_pre-primary_education_female_number_year`	Enrolment_in_pre-primary_education_female_number_year	string	0%	1	2015
`Percentage_of_enrolment_in_pre-primary_education_in_private_institutions_pct`	Percentage_of_enrolment_in_pre-primary_education_in_private_institutions_pct	float	0%	1	100.0
`Percentage_of_enrolment_in_pre-primary_education_in_private_institutions_pct_year`	Percentage_of_enrolment_in_pre-primary_education_in_private_institutions_pct_year	string	0%	1	2015
`Teachers_in_pre-primary_education_both_sexes_number`	Teachers_in_pre-primary_education_both_sexes_number	float	0%	1	922.0
`Teachers_in_pre-primary_education_both_sexes_number_year`	Teachers_in_pre-primary_education_both_sexes_number_year	string	0%	1	2015
`Teachers_in_pre-primary_education_female_number`	Teachers_in_pre-primary_education_female_number	float	0%	1	881.0
`Teachers_in_pre-primary_education_female_number_year`	Teachers_in_pre-primary_education_female_number_year	string	0%	1	2015
`Percentage_of_teachers_in_pre-primary_education_who_are_female_pct`	Percentage_of_teachers_in_pre-primary_education_who_are_female_pct	float	0%	1	95.55315
`Percentage_of_teachers_in_pre-primary_education_who_are_female_pct_year`	Percentage_of_teachers_in_pre-primary_education_who_are_female_pct_year	string	0%	1	2015
`Enrolment_in_primary_education_female_number`	Enrolment_in_primary_education_female_number	float	0%	1	21741.0
`Enrolment_in_primary_education_female_number_year`	Enrolment_in_primary_education_female_number_year	string	0%	1	2015
`Teachers_in_primary_education_female_number`	Teachers_in_primary_education_female_number	float	0%	1	990.0
`Teachers_in_primary_education_female_number_year`	Teachers_in_primary_education_female_number_year	string	0%	1	2015
`Theoretical_duration_of_lower_secondary_education_years`	Theoretical_duration_of_lower_secondary_education_years	float	0%	1	4.0
`Theoretical_duration_of_lower_secondary_education_years_year`	Theoretical_duration_of_lower_secondary_education_years_year	string	0%	1	2020
`Theoretical_duration_of_upper_secondary_education_years`	Theoretical_duration_of_upper_secondary_education_years	float	0%	1	3.0
`Theoretical_duration_of_upper_secondary_education_years_year`	Theoretical_duration_of_upper_secondary_education_years_year	string	0%	1	2020
`Enrolment_in_secondary_education_female_number`	Enrolment_in_secondary_education_female_number	float	0%	1	10070.0
`Enrolment_in_secondary_education_female_number_year`	Enrolment_in_secondary_education_female_number_year	string	0%	1	2015
`Share_of_all_students_in_secondary_education_enrolled_in_vocational_programmes_p`	Share_of_all_students_in_secondary_education_enrolled_in_vocational_programmes_p	float	0%	1	2.43096
`Share_of_all_students_in_secondary_education_enrolled_in_vocational_programmes_p_year`	Share_of_all_students_in_secondary_education_enrolled_in_vocational_programmes_p_year	string	0%	1	2015
`Gross_enrolment_ratio_lower_secondary_both_sexes_pct`	Gross_enrolment_ratio_lower_secondary_both_sexes_pct	float	0%	1	67.73691
`Gross_enrolment_ratio_lower_secondary_both_sexes_pct_year`	Gross_enrolment_ratio_lower_secondary_both_sexes_pct_year	string	0%	1	2015
`Gross_enrolment_ratio_lower_secondary_female_pct`	Gross_enrolment_ratio_lower_secondary_female_pct	float	0%	1	68.63927
`Gross_enrolment_ratio_lower_secondary_female_pct_year`	Gross_enrolment_ratio_lower_secondary_female_pct_year	string	0%	1	2015
`Gross_enrolment_ratio_lower_secondary_male_pct`	Gross_enrolment_ratio_lower_secondary_male_pct	float	0%	1	66.90586
+979 more extension fields — download the CSV/Parquet to see them all.

VUT Vanuatu Economy and Growth VUT-HDX-Vanuatu___Economy_and_Growth Indicators

8,572 rows · 1 table(s) · 2024 OCHA HDX / World Bank 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

VUT Vanuatu Economy and Growth — 8,572 rows, 489 columns

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Field details — 489 fields (type, nulls, unique, samples)

Extension Fields (489) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	VUT
`Trade_in_services_pct_of_GDP`	Trade_in_services_pct_of_GDP	float	0%	1	29.1996083407583
`Trade_in_services_pct_of_GDP_year`	Trade_in_services_pct_of_GDP_year	string	0%	1	2022
`Communications_computer_etc._pct_of_service_imports_BoP`	Communications_computer_etc._pct_of_service_imports_BoP	float	0%	1	10.2284220017592
`Communications_computer_etc._pct_of_service_imports_BoP_year`	Communications_computer_etc._pct_of_service_imports_BoP_year	string	0%	1	2022
`Primary_income_payments_BoP_current_USusd`	Primary_income_payments_BoP_current_USusd	float	0%	1	28993959.1325111
`Primary_income_payments_BoP_current_USusd_year`	Primary_income_payments_BoP_current_USusd_year	string	0%	1	2022
`Imports_of_goods_and_services_BoP_current_USusd`	Imports_of_goods_and_services_BoP_current_USusd	float	0%	1	579346634.981212
`Imports_of_goods_and_services_BoP_current_USusd_year`	Imports_of_goods_and_services_BoP_current_USusd_year	string	0%	1	2022
`Insurance_and_financial_services_pct_of_service_imports_BoP`	Insurance_and_financial_services_pct_of_service_imports_BoP	float	0%	1	4.69270099336358
`Insurance_and_financial_services_pct_of_service_imports_BoP_year`	Insurance_and_financial_services_pct_of_service_imports_BoP_year	string	0%	1	2022
`Goods_imports_BoP_current_USusd`	Goods_imports_BoP_current_USusd	float	0%	1	349756374.44379
`Goods_imports_BoP_current_USusd_year`	Goods_imports_BoP_current_USusd_year	string	0%	1	2022
`Service_imports_BoP_current_USusd`	Service_imports_BoP_current_USusd	float	0%	1	229590260.537423
`Service_imports_BoP_current_USusd_year`	Service_imports_BoP_current_USusd_year	string	0%	1	2022
`Charges_for_the_use_of_intellectual_property_payments_BoP_current_USusd`	Charges_for_the_use_of_intellectual_property_payments_BoP_current_USusd	float	0%	1	298052.858359427
`Charges_for_the_use_of_intellectual_property_payments_BoP_current_USusd_year`	Charges_for_the_use_of_intellectual_property_payments_BoP_current_USusd_year	string	0%	1	2022
`Imports_of_goods_services_and_primary_income_BoP_current_USusd`	Imports_of_goods_services_and_primary_income_BoP_current_USusd	float	0%	1	608340594.113723
`Imports_of_goods_services_and_primary_income_BoP_current_USusd_year`	Imports_of_goods_services_and_primary_income_BoP_current_USusd_year	string	0%	1	2022
`Transport_services_pct_of_service_imports_BoP`	Transport_services_pct_of_service_imports_BoP	float	0%	1	34.2525660520043
`Transport_services_pct_of_service_imports_BoP_year`	Transport_services_pct_of_service_imports_BoP_year	string	0%	1	2022
`Travel_services_pct_of_service_imports_BoP`	Travel_services_pct_of_service_imports_BoP	float	0%	1	50.4945635261368
`Travel_services_pct_of_service_imports_BoP_year`	Travel_services_pct_of_service_imports_BoP_year	string	0%	1	2022
`Foreign_direct_investment_net_outflows_BoP_current_USusd`	Foreign_direct_investment_net_outflows_BoP_current_USusd	float	0%	1	2786060.0
`Foreign_direct_investment_net_outflows_BoP_current_USusd_year`	Foreign_direct_investment_net_outflows_BoP_current_USusd_year	string	0%	1	2024
`Foreign_direct_investment_net_outflows_pct_of_GDP`	Foreign_direct_investment_net_outflows_pct_of_GDP	float	0%	1	0.249206591462533
`Foreign_direct_investment_net_outflows_pct_of_GDP_year`	Foreign_direct_investment_net_outflows_pct_of_GDP_year	string	0%	1	2024
`Secondary_income_other_sectors_payments_BoP_current_USusd`	Secondary_income_other_sectors_payments_BoP_current_USusd	float	0%	1	6503013.44802493
`Secondary_income_other_sectors_payments_BoP_current_USusd_year`	Secondary_income_other_sectors_payments_BoP_current_USusd_year	string	0%	1	2022
`Personal_remittances_paid_current_USusd`	Personal_remittances_paid_current_USusd	float	0%	1	19056859.0074263
+459 more extension fields — download the CSV/Parquet to see them all.

VUT Vanuatu Education Indicators VUT-HDX-Vanuatu___Education_Indicators Indicators

3,805 rows · 1 table(s) · 2024 OCHA HDX / World Bank 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

VUT Vanuatu Education Indicators — 3,805 rows, 2,347 columns

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Field details — 2347 fields (type, nulls, unique, samples)

Extension Fields (2347) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	VUT
`ADMI.ENDOFLOWERSEC.MAT`	ADMI.ENDOFLOWERSEC.MAT	float	0%	1	1.0
`ADMI.ENDOFLOWERSEC.MAT_year`	ADMI.ENDOFLOWERSEC.MAT_year	string	0%	1	2025
`ADMI.ENDOFLOWERSEC.READ`	ADMI.ENDOFLOWERSEC.READ	float	0%	1	1.0
`ADMI.ENDOFLOWERSEC.READ_year`	ADMI.ENDOFLOWERSEC.READ_year	string	0%	1	2025
`ADMI.ENDOFPRIM.MAT`	ADMI.ENDOFPRIM.MAT	float	0%	1	1.0
`ADMI.ENDOFPRIM.MAT_year`	ADMI.ENDOFPRIM.MAT_year	string	0%	1	2025
`ADMI.ENDOFPRIM.READ`	ADMI.ENDOFPRIM.READ	float	0%	1	1.0
`ADMI.ENDOFPRIM.READ_year`	ADMI.ENDOFPRIM.READ_year	string	0%	1	2025
`ADMI.GRADE2OR3PRIM.MAT`	ADMI.GRADE2OR3PRIM.MAT	float	0%	1	1.0
`ADMI.GRADE2OR3PRIM.MAT_year`	ADMI.GRADE2OR3PRIM.MAT_year	string	0%	1	2025
`ADMI.GRADE2OR3PRIM.READ`	ADMI.GRADE2OR3PRIM.READ	float	0%	1	1.0
`ADMI.GRADE2OR3PRIM.READ_year`	ADMI.GRADE2OR3PRIM.READ_year	string	0%	1	2025
`AIR.1.GLAST`	AIR.1.GLAST	float	0%	1	113.3826125339616
`AIR.1.GLAST_year`	AIR.1.GLAST_year	string	0%	1	2024
`AIR.1.GLAST.F`	AIR.1.GLAST.F	float	0%	1	113.1530580922608
`AIR.1.GLAST.F_year`	AIR.1.GLAST.F_year	string	0%	1	2024
`AIR.1.GLAST.GPIA`	AIR.1.GLAST.GPIA	float	0%	1	0.9960726467635326
`AIR.1.GLAST.GPIA_year`	AIR.1.GLAST.GPIA_year	string	0%	1	2024
`AIR.1.GLAST.M`	AIR.1.GLAST.M	float	0%	1	113.5992022870228
`AIR.1.GLAST.M_year`	AIR.1.GLAST.M_year	string	0%	1	2024
`AIR.2.GPV.GLAST`	AIR.2.GPV.GLAST	float	0%	1	64.59709187433252
`AIR.2.GPV.GLAST_year`	AIR.2.GPV.GLAST_year	string	0%	1	2024
`AIR.2.GPV.GLAST.F`	AIR.2.GPV.GLAST.F	float	0%	1	69.24471418798016
`AIR.2.GPV.GLAST.F_year`	AIR.2.GPV.GLAST.F_year	string	0%	1	2024
`AIR.2.GPV.GLAST.GPIA`	AIR.2.GPV.GLAST.GPIA	float	0%	1	1.130539646845949
`AIR.2.GPV.GLAST.GPIA_year`	AIR.2.GPV.GLAST.GPIA_year	string	0%	1	2024
`AIR.2.GPV.GLAST.M`	AIR.2.GPV.GLAST.M	float	0%	1	60.20553365193258
`AIR.2.GPV.GLAST.M_year`	AIR.2.GPV.GLAST.M_year	string	0%	1	2024
`CR.1`	CR.1	float	0%	1	81.456787109375
+2317 more extension fields — download the CSV/Parquet to see them all.

VUT Vanuatu Gender VUT-HDX-Vanuatu___Gender Indicators

3,643 rows · 1 table(s) · 2024 OCHA HDX / World Bank 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)

VUT Vanuatu Gender — 3,643 rows, 319 columns

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Field details — 319 fields (type, nulls, unique, samples)

Extension Fields (319) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	VUT
`Firms_with_female_top_manager_pct_of_firms`	Firms_with_female_top_manager_pct_of_firms	float	0%	1	39.69094086
`Firms_with_female_top_manager_pct_of_firms_year`	Firms_with_female_top_manager_pct_of_firms_year	string	0%	1	2023
`Firms_with_female_participation_in_ownership_pct_of_firms`	Firms_with_female_participation_in_ownership_pct_of_firms	float	0%	1	42.19713974
`Firms_with_female_participation_in_ownership_pct_of_firms_year`	Firms_with_female_participation_in_ownership_pct_of_firms_year	string	0%	1	2023
`Literacy_rate_youth_female_pct_of_females_ages_15-24`	Literacy_rate_youth_female_pct_of_females_ages_15-24	float	0%	1	94.5100021362305
`Literacy_rate_youth_female_pct_of_females_ages_15-24_year`	Literacy_rate_youth_female_pct_of_females_ages_15-24_year	string	0%	1	2023
`Literacy_rate_youth_ages_15-24_gender_parity_index_GPI`	Literacy_rate_youth_ages_15-24_gender_parity_index_GPI	float	0%	1	1.00999999046326
`Literacy_rate_youth_ages_15-24_gender_parity_index_GPI_year`	Literacy_rate_youth_ages_15-24_gender_parity_index_GPI_year	string	0%	1	2023
`Literacy_rate_youth_male_pct_of_males_ages_15-24`	Literacy_rate_youth_male_pct_of_males_ages_15-24	float	0%	1	93.3600006103516
`Literacy_rate_youth_male_pct_of_males_ages_15-24_year`	Literacy_rate_youth_male_pct_of_males_ages_15-24_year	string	0%	1	2023
`Literacy_rate_adult_female_pct_of_females_ages_15_and_above`	Literacy_rate_adult_female_pct_of_females_ages_15_and_above	float	0%	1	88.1800003051758
`Literacy_rate_adult_female_pct_of_females_ages_15_and_above_year`	Literacy_rate_adult_female_pct_of_females_ages_15_and_above_year	string	0%	1	2023
`Literacy_rate_adult_male_pct_of_males_ages_15_and_above`	Literacy_rate_adult_male_pct_of_males_ages_15_and_above	float	0%	1	87.7300033569336
`Literacy_rate_adult_male_pct_of_males_ages_15_and_above_year`	Literacy_rate_adult_male_pct_of_males_ages_15_and_above_year	string	0%	1	2023
`School_enrollment_primary_gross_gender_parity_index_GPI`	School_enrollment_primary_gross_gender_parity_index_GPI	float	0%	1	0.976840019226074
`School_enrollment_primary_gross_gender_parity_index_GPI_year`	School_enrollment_primary_gross_gender_parity_index_GPI_year	string	0%	1	2020
`School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI`	School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI	float	0%	1	1.02558994293213
`School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI_year`	School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI_year	string	0%	1	2020
`School_enrollment_secondary_gross_gender_parity_index_GPI`	School_enrollment_secondary_gross_gender_parity_index_GPI	float	0%	1	1.14437997341156
`School_enrollment_secondary_gross_gender_parity_index_GPI_year`	School_enrollment_secondary_gross_gender_parity_index_GPI_year	string	0%	1	2020
`School_enrollment_tertiary_gross_gender_parity_index_GPI`	School_enrollment_tertiary_gross_gender_parity_index_GPI	float	0%	1	0.55401998758316
`School_enrollment_tertiary_gross_gender_parity_index_GPI_year`	School_enrollment_tertiary_gross_gender_parity_index_GPI_year	string	0%	1	2004
`School_enrollment_preprimary_female_pct_gross`	School_enrollment_preprimary_female_pct_gross	float	0%	1	102.154327392578
`School_enrollment_preprimary_female_pct_gross_year`	School_enrollment_preprimary_female_pct_gross_year	string	0%	1	2020
`School_enrollment_preprimary_male_pct_gross`	School_enrollment_preprimary_male_pct_gross	float	0%	1	103.02808380127
`School_enrollment_preprimary_male_pct_gross_year`	School_enrollment_preprimary_male_pct_gross_year	string	0%	1	2020
`Primary_completion_rate_female_pct_of_relevant_age_group`	Primary_completion_rate_female_pct_of_relevant_age_group	float	0%	1	113.153058092261
`Primary_completion_rate_female_pct_of_relevant_age_group_year`	Primary_completion_rate_female_pct_of_relevant_age_group_year	string	0%	1	2024
`Primary_completion_rate_male_pct_of_relevant_age_group`	Primary_completion_rate_male_pct_of_relevant_age_group	float	0%	1	113.599202287023
+289 more extension fields — download the CSV/Parquet to see them all.

VUT Vanuatu Trade VUT-HDX-Vanuatu___Trade Indicators

3,571 rows · 1 table(s) · 2024 OCHA HDX / World Bank 0 1 2 3 1 SEL 5 ext ▶

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0 Admin 0 — 1 table(s)

VUT Vanuatu Trade — 3,571 rows, 6 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`Country ISO3`	Country ISO3	text	SEL+	0%	-	-

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

Field Name	Label	Type	Nulls	Unique	Samples
`Country Name`	Country Name	text	0%	-	-
`Year`	Year	text	0%	-	-
`Indicator Name`	Indicator Name	text	0%	-	-
`Indicator Code`	Indicator Code	text	0%	-	-
`Value`	Value	text	0%	-	-

VUT Vanuatu Food Security and Nutrition Indicators VUT-HDX-Vanuatu___Food_Security_and_Nutrition_Indicators Indicators

1,024 rows · 1 table(s) · 2024 OCHA HDX / World Bank 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

VUT Vanuatu Food Security and Nutrition Indicators — 1,024 rows, 16 columns

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

Extension Fields (16) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Iso3`	Iso3	string	0%	1	VUT, VUT, VUT, VUT, VUT
`StartDate`	StartDate	string	0%	24	2000-01-01, 2001-01-01, 2002-01-01, 2003-01-01, 2004-01-01
`EndDate`	EndDate	string	0%	24	2002-12-31, 2003-12-31, 2004-12-31, 2005-12-31, 2006-12-31
`Area Code`	Area Code	string	0%	1	155, 155, 155, 155, 155
`Area Code (M49)`	Area Code (M49)	string	0%	1	'548, '548, '548, '548, '548
`Area`	Area	string	0%	1	Vanuatu, Vanuatu, Vanuatu, Vanuatu, Vanuatu
`Item Code`	Item Code	string	0%	5	21010, 21010, 21010, 21010, 21010
`Item`	Item	string	0%	5	Average dietary energy supply adequacy (percent) (3-year...
`Element Code`	Element Code	string	0%	3	6121, 6121, 6121, 6121, 6121
`Element`	Element	string	0%	1	Value, Value, Value, Value, Value
`Year Code`	Year Code	string	0%	46	20002002, 20012003, 20022004, 20032005, 20042006
`Year`	Year	string	0%	24	2002, 2003, 2004, 2005, 2006
`Unit`	Unit	string	0%	3	%, %, %, %, %
`Value`	Value	string	0%	71	121, 121, 122, 123, 123
`Flag`	Flag	string	0%	1	E, E, E, E, E
`Note`	Note	string	99%	1	Imputed value

VUT Vanuatu Infrastructure VUT-HDX-Vanuatu___Infrastructure Indicators

767 rows · 1 table(s) · 2024 OCHA HDX / World Bank 0 1 2 3 1 SEL 5 ext ▶

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0 Admin 0 — 1 table(s)

VUT Vanuatu Infrastructure — 767 rows, 6 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`Country ISO3`	Country ISO3	text	SEL+	0%	-	-

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

Field Name	Label	Type	Nulls	Unique	Samples
`Country Name`	Country Name	text	0%	-	-
`Year`	Year	text	0%	-	-
`Indicator Name`	Indicator Name	text	0%	-	-
`Indicator Code`	Indicator Code	text	0%	-	-
`Value`	Value	text	0%	-	-

VUT Global Data Lab VUT-GDL Development Indices

306 rows · 1 table(s) · 2023 Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.

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1 Admin 1 — 1 table(s)

VUT GDL - Subnational Indices — 306 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	VUT, VUT, VUT, VUT, VUT
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	9	Total, Luganville, Malampa, Penama, Port Vila
`human_development_index`	Human development index	float	SEL	0%	78	0.536, 0.617, 0.513, 0.48, 0.635
`health_index`	Health index	float	SEL	0%	12	0.718, 0.718, 0.718, 0.718, 0.718
`education_index`	Education index	float	SEL	0%	86	0.421, 0.526, 0.419, 0.354, 0.539
`income_index`	Income index	float	SEL	0%	64	0.509, 0.623, 0.448, 0.435, 0.663
`life_expectancy`	Life expectancy	float	SEL	0%	12	66.68, 66.68, 66.68, 66.68, 66.68
`mean_years_schooling`	Mean years schooling	float	SEL	0%	100	6.313, 7.505, 5.977, 5.093, 8.686

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	12	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

VUT World Bank Open Data VUT-WORLD_BANK Development Indicators

132 rows · 2 table(s) · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 2 table(s)

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

Loading data…

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	VU, VU, VU, VU, VU
`population_count`	Population count	float	SEL	2%	65	64431.0, 66264.0, 68174.0, 70159.0, 72219.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	49.841, 50.384, 50.931, 51.485, 51.969
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	30%	46	1055.01446687478, 1047.77362587983, 962.222055354043,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	92%	5	52.8699989318848, 74.0, 92.7475057391313,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	151.5, 147.2, 142.7, 138.1, 133.5
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	97%	1	15.9, 15.9

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	Vanuatu, Vanuatu, Vanuatu, Vanuatu, Vanuatu
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

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

Loading data…

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	VU, VU, VU, VU, VU
`life_expectancy`	Life expectancy	float	SEL	3%	64	49.841, 50.384, 50.931, 51.485, 51.969
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	47%	31	20.6, 19.9, 19.1, 18.5, 18.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	151.5, 147.2, 142.7, 138.1, 133.5
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	27	211.0, 194.0, 200.0, 172.0, 162.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	6.784, 6.729, 6.672, 6.623, 6.568
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	44.337, 44.169, 43.948, 43.734, 43.449
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	16.454, 15.92, 15.39, 14.868, 14.399
`physicians_per_1000`	Physicians per 1000	float	SEL	77%	14	0.277, 0.301, 0.191, 0.189, 0.204
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	94%	4	5.43076944351196, 10.7349004745483, 6.1793999671936, 1.73
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	35%	30	22.0, 27.0, 28.0, 30.0, 31.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	3.30683255, 3.38728333, 3.90437746, 3.50691938, 3.53991532

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	Vanuatu, Vanuatu, Vanuatu, Vanuatu, Vanuatu
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

VUT Glottolog Language Catalog VUT-GLOTTOLOG Language

123 rows · 1 table(s) · 2024 Glottolog Language Catalog 0 1 2 3 2 SEL 12 CCL 7 ext ▶

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0 Admin 0 — 1 table(s)

VUT Glottolog - Languages — 123 rows, 16 columns

Loading data…

Field details — 21 fields (type, nulls, unique, samples)

Standards-Aligned Fields (14)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	100	akei1237, ambl1237, anei1239, aore1237, apma1240
`name`	Name	string	CCL	0%	100	Akei, Amblong, Aneityum, Aore, Apma
`iso639_3`	Iso639 3	string	CCL	12%	88	tsr, alm, aty, aor, app
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	5	aust1307, aust1307, aust1307, aust1307, aust1307
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	55	west2845, sout3194, sout2868, sout3339, sout3188
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	2	['VU'], ['VU'], ['VU'], ['VU'], ['VU']
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	7	0, 0, 0, 0, 2
`country_code`	Country code	string	SEL	0%	1	VUT, VUT, VUT, VUT, VUT

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	100	-15.6377, -15.5169, -20.1864, -15.5753, -15.8559
`longitude`	longitude	float	0%	99	166.767, 166.95, 169.825, 167.166, 168.189
`classification`	classification	string	0%	1	[], [], [], [], []
`source`	source	string	0%	1	Glottolog 5.0, Glottolog 5.0, Glottolog 5.0, Glottolog...
`source_url`	source_url	string	0%	1	https://glottolog.org, https://glottolog.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	float	0%	1	2024, 2024, 2024, 2024, 2024

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

73 rows · 3 table(s) · 2020 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 15 SEL ▶

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0 Admin 0 — 1 table(s)

VUT Cod Ps - Vut Codps (admin_0) — 1 rows, 53 columns

Loading data…

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	VU
`region_name`	Region name	string	SEL	0%	1	Vanuatu
`F_TL`	Female population	integer	SEL	0%	1	148428
`M_TL`	Male population	integer	SEL	0%	1	151615
`T_TL`	Total population	integer	SEL	0%	1	300043

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	2020
`year`	year	integer	0%	1	2020
`F_00_04`	Female population age 0-4	integer	0%	1	20203
`F_05_09`	Female population age 5-9	integer	0%	1	18908
`F_10_14`	Female population age 10-14	integer	0%	1	16707
`F_15_19`	Female population age 15-19	integer	0%	1	14103
`F_20_24`	Female population age 20-24	integer	0%	1	12998
`F_25_29`	Female population age 25-29	integer	0%	1	12421
`F_30_34`	Female population age 30-34	integer	0%	1	10858
`F_35_39`	Female population age 35-39	integer	0%	1	8499
`F_40_44`	Female population age 40-44	integer	0%	1	7592
`F_45_49`	Female population age 45-49	integer	0%	1	6500
`F_50_54`	Female population age 50-54	integer	0%	1	5532
`F_55_59`	Female population age 55-59	integer	0%	1	4398
`F_60_64`	Female population age 60-64	integer	0%	1	3474
`F_65_69`	Female population age 65-69	integer	0%	1	2446
`F_70Plus`	F_70Plus	integer	0%	1	3789
`M_00_04`	Male population age 0-4	integer	0%	1	21393
`M_05_09`	Male population age 5-9	integer	0%	1	20526
`M_10_14`	Male population age 10-14	integer	0%	1	18032
`M_15_19`	Male population age 15-19	integer	0%	1	14875
`M_20_24`	Male population age 20-24	integer	0%	1	12742
`M_25_29`	Male population age 25-29	integer	0%	1	11817
`M_30_34`	Male population age 30-34	integer	0%	1	10066
`M_35_39`	Male population age 35-39	integer	0%	1	8491
`M_40_44`	Male population age 40-44	integer	0%	1	7517
`M_45_49`	Male population age 45-49	integer	0%	1	6749
`M_50_54`	Male population age 50-54	integer	0%	1	5435
`M_55_59`	Male population age 55-59	integer	0%	1	4355
+18 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

VUT Cod Ps - Vut Codps (admin_1) — 6 rows, 53 columns

Loading data…

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%	6	VU01, VU02, VU03, VU04, VU05
`region_name`	Region name	string	SEL	0%	6	Torba, Sanma, Penama, Malampa, Shefa
`F_TL`	Female population	integer	SEL	0%	6	5619, 29600, 17577, 21011, 51772
`M_TL`	Male population	integer	SEL	0%	6	5714, 31282, 18037, 21497, 52221
`T_TL`	Total population	integer	SEL	0%	6	11333, 60882, 35614, 42508, 103993

Pending (48) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2020, 2020, 2020, 2020, 2020
`year`	year	integer	0%	1	2020, 2020, 2020, 2020, 2020
`F_00_04`	Female population age 0-4	integer	0%	6	785, 4127, 2591, 2791, 6375
`F_05_09`	Female population age 5-9	integer	0%	6	780, 3919, 2334, 2831, 5785
`F_10_14`	Female population age 10-14	integer	0%	6	716, 3355, 2117, 2531, 5143
`F_15_19`	Female population age 15-19	integer	0%	5	492, 2814, 1890, 1890, 4726
`F_20_24`	Female population age 20-24	integer	0%	6	436, 2720, 1319, 1495, 4988
`F_25_29`	Female population age 25-29	integer	0%	6	452, 2665, 1271, 1461, 4872
`F_30_34`	Female population age 30-34	integer	0%	6	400, 2169, 1085, 1441, 4270
`F_35_39`	Female population age 35-39	integer	0%	6	314, 1650, 934, 1240, 3251
`F_40_44`	Female population age 40-44	integer	0%	6	266, 1517, 814, 1086, 2882
`F_45_49`	Female population age 45-49	integer	0%	6	243, 1182, 708, 983, 2531
`F_50_54`	Female population age 50-54	integer	0%	6	201, 1025, 651, 770, 2228
`F_55_59`	Female population age 55-59	integer	0%	6	162, 763, 512, 717, 1639
`F_60_64`	Female population age 60-64	integer	0%	6	109, 634, 420, 590, 1223
`F_65_69`	Female population age 65-69	integer	0%	6	101, 423, 340, 443, 789
`F_70Plus`	F_70Plus	integer	0%	6	162, 637, 591, 742, 1070
`M_00_04`	Male population age 0-4	integer	0%	6	837, 4448, 2691, 2860, 6802
`M_05_09`	Male population age 5-9	integer	0%	6	835, 4342, 2549, 2963, 6303
`M_10_14`	Male population age 10-14	integer	0%	6	692, 3750, 2306, 2753, 5381
`M_15_19`	Male population age 15-19	integer	0%	6	549, 3012, 1970, 2120, 4807
`M_20_24`	Male population age 20-24	integer	0%	6	412, 2744, 1304, 1582, 4911
`M_25_29`	Male population age 25-29	integer	0%	6	424, 2560, 1162, 1379, 4806
`M_30_34`	Male population age 30-34	integer	0%	6	381, 2008, 1077, 1346, 3869
`M_35_39`	Male population age 35-39	integer	0%	6	341, 1800, 978, 1250, 3075
`M_40_44`	Male population age 40-44	integer	0%	6	282, 1522, 877, 1055, 2797
`M_45_49`	Male population age 45-49	integer	0%	6	245, 1328, 756, 971, 2573
`M_50_54`	Male population age 50-54	integer	0%	6	200, 1058, 646, 820, 2084
`M_55_59`	Male population age 55-59	integer	0%	6	152, 827, 536, 661, 1626
+18 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

VUT Cod Ps - Vut Codps (admin_2) — 66 rows, 54 columns

Loading data…

Field details — 54 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	66	VU04008, VU04011, VU04007, VU04006, VU04013
`region_name`	Region name	string	SEL	0%	66	Central Malekula, North Ambrym, North East Malekula,...
`F_TL`	Female population	integer	SEL	0%	66	3223, 1858, 3405, 2713, 825
`M_TL`	Male population	integer	SEL	0%	66	3185, 1842, 3415, 2790, 851
`T_TL`	Total population	integer	SEL	0%	66	6408, 3700, 6820, 5503, 1676

Pending (49) — 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	2020, 2020, 2020, 2020, 2020
`year`	year	integer	0%	1	2020, 2020, 2020, 2020, 2020
`R_U`	R_U	string	0%	2	rural, rural, rural, rural, rural
`F_00_04`	Female population age 0-4	integer	0%	61	401, 245, 429, 374, 103
`F_05_09`	Female population age 5-9	integer	0%	62	440, 217, 469, 377, 93
`F_10_14`	Female population age 10-14	integer	0%	59	365, 211, 422, 360, 90
`F_15_19`	Female population age 15-19	integer	0%	58	241, 196, 278, 269, 123
`F_20_24`	Female population age 20-24	integer	0%	60	236, 169, 221, 197, 61
`F_25_29`	Female population age 25-29	integer	0%	63	249, 129, 207, 177, 41
`F_30_34`	Female population age 30-34	integer	0%	61	255, 129, 227, 186, 49
`F_35_39`	Female population age 35-39	integer	0%	55	181, 97, 223, 173, 44
`F_40_44`	Female population age 40-44	integer	0%	54	176, 85, 161, 139, 33
`F_45_49`	Female population age 45-49	integer	0%	53	167, 73, 158, 109, 40
`F_50_54`	Female population age 50-54	integer	0%	53	154, 63, 129, 87, 27
`F_55_59`	Female population age 55-59	integer	0%	46	114, 71, 133, 72, 34
`F_60_64`	Female population age 60-64	integer	0%	51	77, 47, 113, 63, 23
`F_65_69`	Female population age 65-69	integer	0%	47	79, 35, 88, 41, 19
`F_70Plus`	F_70Plus	integer	0%	45	88, 91, 147, 89, 45
`M_00_04`	Male population age 0-4	integer	0%	61	440, 244, 442, 392, 97
`M_05_09`	Male population age 5-9	integer	0%	63	455, 215, 492, 422, 99
`M_10_14`	Male population age 10-14	integer	0%	63	342, 214, 460, 410, 100
`M_15_19`	Male population age 15-19	integer	0%	62	247, 210, 320, 320, 136
`M_20_24`	Male population age 20-24	integer	0%	59	216, 175, 202, 186, 72
`M_25_29`	Male population age 25-29	integer	0%	58	222, 115, 177, 164, 47
`M_30_34`	Male population age 30-34	integer	0%	60	213, 107, 223, 157, 40
`M_35_39`	Male population age 35-39	integer	0%	59	216, 119, 203, 171, 32
`M_40_44`	Male population age 40-44	integer	0%	56	148, 84, 179, 136, 35
`M_45_49`	Male population age 45-49	integer	0%	59	174, 87, 136, 89, 35
`M_50_54`	Male population age 50-54	integer	0%	51	145, 72, 132, 84, 30
+19 more pending fields — download the CSV/Parquet to see them all.

VUT Vanuatu Risk Assessment Indicators VUT-HDX-Vanuatu___Risk_Assessment_Indicators Indicators

66 rows · 1 table(s) · 2024 OCHA HDX / World Bank 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)

VUT Vanuatu Risk Assessment Indicators — 66 rows, 9 columns

Loading data…

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

Extension Fields (9) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ADM2_PCODE`	ADM2_PCODE	text	0%	-	-
`ADM_PCODE`	ADM_PCODE	text	0%	-	-
`female_pop_rural`	female_pop_rural	text	0%	-	-
`children_u5_rural`	children_u5_rural	text	0%	-	-
`female_u5_rural`	female_u5_rural	text	0%	-	-
`elderly_rural`	elderly_rural	text	0%	-	-
`pop_u15_rural`	pop_u15_rural	text	0%	-	-
`female_u15_rural`	female_u15_rural	text	0%	-	-
`rural_pop_perc`	rural_pop_perc	text	0%	-	-

VUT Vanuatu Poverty VUT-HDX-Vanuatu___Poverty Indicators

44 rows · 1 table(s) · 2024 OCHA HDX / World Bank 0 1 2 3 1 SEL 5 ext ▶

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0 Admin 0 — 1 table(s)

VUT Vanuatu Poverty — 44 rows, 6 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`Country ISO3`	Country ISO3	text	SEL+	0%	-	-

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

Field Name	Label	Type	Nulls	Unique	Samples
`Country Name`	Country Name	text	0%	-	-
`Year`	Year	text	0%	-	-
`Indicator Name`	Indicator Name	text	0%	-	-
`Indicator Code`	Indicator Code	text	0%	-	-
`Value`	Value	text	0%	-	-

VUT UNHCR Refugee Data Finder VUT-UNHCR Migration

15 rows · 2 table(s) · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 44 ext ▶

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0 Admin 0 — 2 table(s)

VUT UNHCR - Hosted Populations — 6 rows, 28 columns

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Field details — 28 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 (22) — 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%	-	-
`source`	source	string	0%	1	UNHCR Refugee Data Finder, UNHCR Refugee Data Finder,...
`source_url`	source_url	string	0%	1	https://www.unhcr.org/refugee-statistics/,...
`license`	license	string	0%	1	Open access with attribution, Open access with...
`country_code`	country_code	string	0%	1	VUT, VUT, VUT, VUT, VUT

VUT UNHCR - Origin Populations — 9 rows, 28 columns

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Field details — 28 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 (22) — 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%	-	-
`source`	source	string	0%	1	UNHCR Refugee Data Finder, UNHCR Refugee Data Finder,...
`source_url`	source_url	string	0%	1	https://www.unhcr.org/refugee-statistics/,...
`license`	license	string	0%	1	Open access with attribution, Open access with...
`country_code`	country_code	string	0%	1	VUT, VUT, VUT, VUT, VUT

VUT OpenFactBook VUT-OPENFACTBOOK Country Profile

14 rows · 14 table(s) · 2024 OpenFactBook 0 1 2 3 92 SEL 2 CCL 513 ext ▶

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0 Admin 0 — 14 table(s)

VUT OpenFactBook - Communications — 1 rows, 21 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	78.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.vu
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	46.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	1.0
`country_code`	Country code	string	SEL	0%	1	VUT
`country_name`	Country name	string	SEL	0%	1	Vanuatu
`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	3,000 (2022 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	3000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	1 (2022 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	256,000 (2022 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	256000.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	78 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	1 state-owned TV station; multi-channel pay TV...
`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	46% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	4,000 (2022 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	4000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	1 (2022 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	australia-oceania/nh.json

VUT OpenFactBook - Economy — 1 rows, 149 columns

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Field details — 154 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	3200.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	1.161
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	15.9
`country_code`	Country code	string	SEL	0%	1	VUT
`country_name`	Country name	string	SEL	0%	1	Vanuatu
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (148) — 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 Pacific island economy; extremely...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$1.039 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	1.039
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$999.162 million (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	999.162
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$1.009 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	1.009
`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	4% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	4.0
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	-1% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	-1.0
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	5.2% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	5.2
`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	$3,200 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$3,100 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	3100.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$3,200 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	3200.0
`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	$1.161 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	11.2% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	11.2
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	6.7% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	6.7
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text`	Inflation rate consumer prices 2021 (text)	string	0%	1	2.3% (2021 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric`	Inflation rate consumer prices 2021 (numeric)	float	0%	1	2.3
`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	24.9% (2022 est.)
+118 more extension fields — download the CSV/Parquet to see them all.

VUT OpenFactBook - Energy — 1 rows, 31 columns

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Field details — 31 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	70.0
`country_code`	Country code	string	SEL	0%	1	VUT
`country_name`	Country name	string	SEL	0%	1	Vanuatu
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (27) — 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	70% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	97%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	97.0
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	60.7%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	60.7
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	39,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	39000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	74.766 million kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	74.766
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	5.264 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	5.264
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	74.9% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	74.9
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	8.7% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	8.7
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	5% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	5.0
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	11.2% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	11.2
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	0.1% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	0.1
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	2,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	2000.0
`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	12.934 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	12.934
`source_section`	source_section	string	0%	1	Energy
`source_profile_path`	source_profile_path	string	0%	1	australia-oceania/nh.json

VUT OpenFactBook - Environment — 1 rows, 35 columns

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Field details — 37 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	15.3
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	74.8
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	26.0
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.55
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	70200.0
`country_code`	Country code	string	SEL	0%	1	VUT
`country_name`	Country name	string	SEL	0%	1	Vanuatu
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (29) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	water pollution; limited potable water; inadequate...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Antarctic-Marine Living Resources, Biodiversity, Climate...
`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; moderated by southeast trade winds from May to...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	15.3% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 1.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	1.6
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 10.3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	10.3
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 3.4% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	3.4
`land_use_forest_text`	land_use_forest_text	string	0%	1	74.8% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	9.8% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	9.8
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	26% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.55% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	292,000 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	292000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	292,000 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	292000.0
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	9.1 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	9.1
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	70,200 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	52.9% (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	52.9
`total_renewable_water_resources_text`	total_renewable_water_resources_text	string	0%	1	10 billion cubic meters (2022 est.)
`total_renewable_water_resources_numeric`	total_renewable_water_resources_numeric	float	0%	1	10.0
`source_section`	source_section	string	0%	1	Environment
`source_profile_path`	source_profile_path	string	0%	1	australia-oceania/nh.json

VUT OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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Field details — 9 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	VUT
`country_name`	Country name	string	SEL	0%	1	Vanuatu
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	Ni-Vanuatu (singular and plural)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Ni-Vanuatu
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Ni-Vanuatu 99%, other 1% (European, Asian, other...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	99.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	australia-oceania/nh.json

VUT OpenFactBook - Geography — 1 rows, 53 columns

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Field details — 56 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	12189.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	12189.0
`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	2528.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	1877.0
`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	15.3
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	74.8
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	0.0
`country_code`	Country code	string	SEL	0%	1	VUT
`country_name`	Country name	string	SEL	0%	1	Vanuatu
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (43) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Oceania, group of islands in the South Pacific Ocean,...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	16 00 S, 167 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	16.0
`map_references_text`	map_references_text	string	0%	1	Oceania
`area_total_text`	area_total_text	string	0%	1	12,189 sq km
`area_land_text`	area_land_text	string	0%	1	12,189 sq km
`area_water_text`	area_water_text	string	0%	1	0 sq km
`area_note`	area_note	string	0%	1	note: includes more than 80 islands, about 65 of which...
`area_comparative_text`	area_comparative_text	string	0%	1	slightly larger than Connecticut
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	0 km
`coastline_text`	coastline_text	string	0%	1	2,528 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
`maritime_claims_note`	maritime_claims_note	string	0%	1	note: measured from claimed archipelagic baselines
`climate_text`	climate_text	string	0%	1	tropical; moderated by southeast trade winds from May to...
`terrain_text`	terrain_text	string	0%	1	mostly mountainous islands of volcanic origin; narrow...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Tabwemasana 1,877 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Pacific Ocean 0 m
`natural_resources_text`	natural_resources_text	string	0%	1	manganese, hardwood forests, fish
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	15.3% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 1.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	1.6
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 10.3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	10.3
+13 more extension fields — download the CSV/Parquet to see them all.

VUT OpenFactBook - Government — 1 rows, 79 columns

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Field details — 99 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	VUT
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (97) — 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 Vanuatu
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Vanuatu
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Ripablik blong Vanuatu
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Vanuatu
`country_name_former_text`	country_name_former_text	string	0%	1	New Hebrides
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the name means "Our land forever" in several of the...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	1774.0
`government_type_text`	government_type_text	string	0%	1	parliamentary republic
`capital_name_text`	capital_name_text	string	0%	1	Port-Vila (on Efate)
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	17 44 S, 168 19 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	17.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+11 (16 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	11.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the local name of Vila is sometimes used alone for the...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	6 provinces; Malampa, Penama, Sanma, Shefa, Tafea, Torba
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	6.0
`legal_system_text`	legal_system_text	string	0%	1	mixed system of English common law, French law, and customary law
`constitution_history_text`	constitution_history_text	string	0%	1	draft completed August 1979, finalized by constitution...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1979.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the prime minister or by the Parliament...
`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	both parents must be citizens of Vanuatu; in the case of...
`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	10 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	10.0
`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 Nikenike VUROBARAVU (since 23 July 2022)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	23.0
+67 more extension fields — download the CSV/Parquet to see them all.

VUT OpenFactBook - Introduction — 1 rows, 6 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	VUT
`country_name`	Country name	string	SEL	0%	1	Vanuatu
`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	Austronesian speakers from the Solomon Islands first...
`background_numeric`	background_numeric	float	0%	1	2000.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	australia-oceania/nh.json

VUT OpenFactBook - Languages — 1 rows, 6 columns

Loading data…

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	VUT
`country_name`	Country name	string	SEL	0%	1	Vanuatu
`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	indigenous languages (more than 100) 82.6%, Bislama...
`languages_numeric`	languages_numeric	float	0%	1	100.0
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	australia-oceania/nh.json

VUT OpenFactBook - Migration — 1 rows, 8 columns

Loading data…

Field details — 9 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	VUT
`country_name`	Country name	string	SEL	0%	1	Vanuatu
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	2,336 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	2336.0
`trafficking_in_persons_tier_rating_text`	trafficking_in_persons_tier_rating_text	string	0%	1	Tier 2 Watch List — Vanuatu does not fully meet the...
`trafficking_in_persons_tier_rating_numeric`	trafficking_in_persons_tier_rating_numeric	float	0%	1	2.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	australia-oceania/nh.json

VUT OpenFactBook - Military And Security — 1 rows, 7 columns

Loading data…

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	VUT
`country_name`	Country name	string	SEL	0%	1	Vanuatu
`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
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	no regular military forces; Vanuatu Police Force (VPF)
`military_note_text`	military_note_text	string	0%	1	the separate British and French police forces were...
`military_note_numeric`	military_note_numeric	float	0%	1	1980.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	australia-oceania/nh.json

VUT OpenFactBook - People And Society — 1 rows, 123 columns

Loading data…

Field details — 134 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	318007.0
`population_male_numeric`	Population male	float	SEL	0%	1	157932.0
`population_female_numeric`	Population female	float	SEL	0%	1	160075.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	31.1
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	63.8
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	5.0
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	56.7
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	48.8
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	7.9
`median_age_total_numeric`	Median age	float	SEL	0%	1	24.9
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	1.51
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	20.36
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	4.02
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-1.24
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	26.0
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.55
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.05
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.99
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	100.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	13.4
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	75.7
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	2.46
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	1.2
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.16
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	88.0
`country_code`	Country code	string	SEL	0%	1	VUT
`country_name`	Country name	string	SEL	0%	1	Vanuatu
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (106) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	318,007 (2024 est.)
`population_male_text`	population_male_text	string	0%	1	157,932
`population_female_text`	population_female_text	string	0%	1	160,075
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	31.1% (male 50,584/female 48,475)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	63.8% (male 99,496/female 103,425)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	5% (2024 est.) (male 7,852/female 8,175)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	56.7 (2024 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	48.8 (2024 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	7.9 (2024 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	12.7 (2024 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	12.7
`median_age_total_text`	median_age_total_text	string	0%	1	24.9 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	24.1 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	24.1
`median_age_female_text`	median_age_female_text	string	0%	1	25 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	25.0
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	1.51% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	20.36 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	4.02 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-1.24 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	three quarters of the population lives in rural areas;...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	26% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.55% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	53,000 PORT-VILA (capital) (2018)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	53000.0
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.04 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.04
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.96 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.96
+76 more extension fields — download the CSV/Parquet to see them all.

VUT OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 25 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	VUT
`country_name`	Country name	string	SEL	0%	1	Vanuatu
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	12.0
`composition_ethnicity_primary_label_synth`	Ni-Vanuatu	string	CCL	0%	-	Ni-Vanuatu

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	Protestant 39.9% (Presbyterian 27.2%, Seventh Day...
`religions_numeric`	religions_numeric	float	0%	1	39.9
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	australia-oceania/nh.json

Pending (16) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_protestant_pct_synth`	Protestant	numeric	0%	-	39.9
`composition_religion_protestant__presbyterian_pct_synth`	Presbyterian	numeric	0%	-	27.2
`composition_religion_protestant__seventh_day_adventist_pct_synth`	Seventh Day Adventist	numeric	0%	-	14.8
`composition_religion_protestant__anglican_pct_synth`	Anglican	numeric	0%	-	12.0
`composition_religion_protestant__churches_of_christ_pct_synth`	Churches of Christ	numeric	0%	-	5.0
`composition_religion_protestant__assemblies_of_god_pct_synth`	Assemblies of God	numeric	0%	-	4.9
`composition_religion_protestant__neil_thomas_ministry_inner_life_ministry_pct_synth`	Neil Thomas Ministry/Inner Life Ministry	numeric	0%	-	3.2
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	12.1
`composition_religion_apostolic_pct_synth`	Apostolic	numeric	0%	-	2.3
`composition_religion_church_of_jesus_christ_pct_synth`	Church of Jesus Christ	numeric	0%	-	1.8
`composition_religion_customary_beliefs_including_jon_frum_cargo_cult_pct_synth`	customary beliefs (including Jon Frum cargo cult)	numeric	0%	-	3.1
`composition_religion_none_pct_synth`	none	numeric	0%	-	1.4
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	0.1
`composition_ethnicity_ni_vanuatu_pct_synth`	Ni-Vanuatu	numeric	0%	-	99.0
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	1.0
`composition_ethnicity_primary_share_pct_synth`	Ni-Vanuatu	numeric	0%	-	99.0

VUT OpenFactBook - Transportation — 1 rows, 24 columns

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Field details — 25 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	YJ
`airports_numeric`	Airports count	float	SEL	0%	1	31.0
`country_code`	Country code	string	SEL	0%	1	VUT
`country_name`	Country name	string	SEL	0%	1	Vanuatu
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (20) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	31 (2025)
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	338 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	338.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 11, container ship 3, general cargo 101, other 223
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	11.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	3 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	3.0
`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	1
`ports_small_numeric`	ports_small_numeric	float	0%	1	1.0
`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	2
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	2.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Forari Bay, Luganville, Port Vila
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	australia-oceania/nh.json

VUT D-PLACE VUT-DPLACE Ethnographic Societies

12 rows · 2 table(s) · 2024 D-PLACE 0 1 2 3 2 SEL 14 CCL 44 ext ▶

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0 Admin 0 — 2 table(s)

VUT D-PLACE - Dplace Ea Societies — 6 rows, 22 columns

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

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	VUT, VUT, VUT, VUT, VUT
`society_id`	Society id	string	CCL	0%	6	Ih10, Ih11, Ih12, Ih13, Ih2
`society_name`	Society name	string	CCL	0%	6	Tannese, Epi, Eromangans, Ranon, Seniang
`language_glottocode`	Language glottocode	string	CCL	0%	6	sout2869, lame1260, siee1239, nort2839, sout2857
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	6	EA001:0; EA002:0; EA003:2; EA004:1; EA005:7, EA001:0;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	5	EA006:1; EA007:8; EA008:2; EA009:2; EA010:8, EA006:1;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	3	EA028:4; EA029:5; EA030:7; EA031:NA; EA032:2, EA028:NA;...
`political_complexity`	Political complexity	string	CCL	0%	4	EA033:2; EA034:NA; EA035:NA, EA033:NA; EA034:NA;...
`religion_importance`	Religion importance	string	CCL	0%	4	EA034:NA; EA112:8, EA034:NA; EA112:NA, EA034:NA;...
`residence_pattern`	Residence pattern	string	CCL	0%	2	EA011:1; EA012:8; EA013:9, EA011:NA; EA012:NA; EA013:NA,...

Extension Fields (11) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Vanuatu, Vanuatu, Vanuatu, Vanuatu, Vanuatu
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	6	-19.6, -16.61, -18.85, -16.18, -16.51
`longitude`	longitude	float	0%	6	169.44, 168.17, 169.16, 168.15, 167.47
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	float	0%	1	2024, 2024, 2024, 2024, 2024

VUT D-PLACE - Dplace Ea Societies Decoded — 6 rows, 38 columns

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Field details — 38 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	VUT, VUT, VUT, VUT, VUT
`society_id`	Society id	string	CCL	0%	6	Ih10, Ih11, Ih12, Ih13, Ih2
`society_name`	Society name	string	CCL	0%	6	Tannese, Epi, Eromangans, Ranon, Seniang
`language_glottocode`	Language glottocode	string	CCL	0%	6	sout2869, lame1260, siee1239, nort2839, sout2857
`language_name`	Language name	string	CCL	0%	1	, , , ,

Extension Fields (33) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Vanuatu, Vanuatu, Vanuatu, Vanuatu, Vanuatu
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	6	-19.6, -16.61, -18.85, -16.18, -16.51
`longitude`	longitude	float	0%	6	169.44, 168.17, 169.16, 168.15, 167.47
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate
`mode_of_marriage`	mode_of_marriage	integer	0%	2	0, 0, 0, 0, 0
`family_organization`	family_organization	integer	0%	2	0, 0, 0, 0, 1
`marital_composition`	marital_composition	integer	0%	4	2, 3, 4, 1, 3
`community_marriage_org`	community_marriage_org	integer	0%	1	1, 1, 1, 1, 1
`kin_group_structure`	kin_group_structure	integer	0%	4	7, 6, 5, 8, 5
`mode_of_marriage_transaction`	mode_of_marriage_transaction	integer	0%	2	1, 1, 1, 5, 1
`bride_price_type`	bride_price_type	integer	0%	2	8, 8, 8, 8, 8
`ground_for_divorce`	ground_for_divorce	integer	17%	2	2, 2, 2, 5, 2
`ease_of_divorce`	ease_of_divorce	integer	17%	2	2, 2, 2, 3, 2
`marriage_arrangement`	marriage_arrangement	integer	17%	1	8, 8, 8, 8, 8
`predominant_subsistence`	predominant_subsistence	integer	50%	1	4, 4, 4
`gathering_dependence`	gathering_dependence	integer	50%	1	5, 5, 5
`hunting_dependence`	hunting_dependence	integer	50%	1	7, 7, 7
`fishing_dependence`	fishing_dependence	integer	83%	1	2
`animal_husbandry_dependence`	animal_husbandry_dependence	integer	50%	2	2, 2, 3
`jurisdictional_hierarchy`	jurisdictional_hierarchy	integer	50%	2	2, 1, 1
`community_integration`	community_integration	integer	83%	1	1
`settlement_pattern`	settlement_pattern	integer	67%	1	2, 2
`high_gods`	high_gods	integer	67%	2	8, 1
`residence_after_marriage`	residence_after_marriage	integer	17%	1	1, 1, 1, 1, 1
`community_residence`	community_residence	integer	17%	1	8, 8, 8, 8, 8
`norms_of_residence`	norms_of_residence	integer	17%	1	9, 9, 9, 9, 9
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
+3 more extension fields — download the CSV/Parquet to see them all.

VUT LandScan Global (ORNL) VUT-LANDSCAN Modeled Population

8 rows · 3 table(s) · 2024 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)

VUT 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	VUT
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Vanuatu
`admin_code`	Admin code	string	SEL	0%	1	10589628B65718092926473
`area_sqkm`	Area sqkm	float	SEL	0%	1	12198.8772
`pop_2024`	Population count	integer	SEL	0%	1	272219
`pop_density_2024`	Population density	float	SEL	0%	1	22.32

1 Admin 1 — 1 table(s)

VUT LandScan - Population Admin1 (admin_1) — 6 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	VUT, VUT, VUT, VUT, VUT
`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%	6	Shefa Province, Sanma, Tafea, Malampa, Penama
`admin_code`	Admin code	string	SEL	0%	6	32282491B17169683382430, 32282491B7486560380604,...
`area_sqkm`	Area sqkm	float	SEL	0%	6	1494.8317, 4228.5431, 1635.1118, 2790.1031, 1196.5268
`pop_2024`	Population count	integer	SEL	0%	6	92268, 58532, 45419, 34453, 32500
`pop_density_2024`	Population density	float	SEL	0%	6	61.72, 13.84, 27.78, 12.35, 27.16

Locality Locality — 1 table(s)

VUT 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	VUT
`admin_level`	Admin level	string	SEL	0%	1	locality
`admin_name`	Admin name	string	SEL	0%	1	Port Vila
`admin_code`	Admin code	integer	SEL	0%	1	191
`area_sqkm`	Area sqkm	float	SEL	0%	1	33.8165
`pop_2024`	Population count	integer	SEL	0%	1	38342
`pop_density_2024`	Population density	float	SEL	0%	1	1133.83

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	72613
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	1	0.528

VUT Vanuatu Multidimensional Poverty Index VUT-HDX-Vanuatu_Multidimensional_Poverty_Index Indicators

7 rows · 1 table(s) · 2024 OCHA HDX / World Bank 0 1 2 3 1 SEL 10 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)

VUT Vanuatu Multidimensional Poverty Index — 7 rows, 11 columns

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

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`Country ISO3`	Country ISO3	text	SEL+	0%	-	-

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Admin 1 PCode`	Admin 1 PCode	text	0%	-	-
`Admin 1 Name`	Admin 1 Name	text	0%	-	-
`MPI`	MPI	text	0%	-	-
`Headcount Ratio`	Headcount Ratio	text	0%	-	-
`Intensity of Deprivation`	Intensity of Deprivation	text	0%	-	-
`Vulnerable to Poverty`	Vulnerable to Poverty	text	0%	-	-
`In Severe Poverty`	In Severe Poverty	text	0%	-	-
`Survey`	Survey	text	0%	-	-
`Start Date`	Start Date	text	0%	-	-
`End Date`	End Date	text	0%	-	-

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

4 rows · 2 table(s) · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 20 ext ▶

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0 Admin 0 — 2 table(s)

VUT Nga Gns - Language — 3 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	VUT, VUT, VUT
`gns_language_code`	gns_language_code	string	CCL	0%	3	eng, fra, bis
`gns_language_name`	gns_language_name	string	CCL	0%	3	English, French, Bislama
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	3	435, 246, 213
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	3	48.6577, 27.5168, 23.8255
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	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

VUT Nga Gns - Summary — 1 rows, 27 columns

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Field details — 27 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	VUT
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Vanuatu
`gns_language_count`	gns_language_count	integer	CCL	0%	1	3
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9848
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

Extension Fields (20) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	6600
`gns_feature_count`	gns_feature_count	integer	0%	1	4795
`gns_endonym_count`	gns_endonym_count	integer	0%	1	6599
`gns_exonym_count`	gns_exonym_count	integer	0%	1	1
`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_hypsographic`	gns_name_count_hypsographic	integer	0%	1	2353
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	1374
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	2222
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	1893
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	1561
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	1114
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	270
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	257
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	152
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	135
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	35
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	17
`gns_name_count_undersea`	gns_name_count_undersea	integer	0%	1	7
`gns_feature_count_undersea`	gns_feature_count_undersea	integer	0%	1	5

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

1 rows · 1 table(s) · 2025 GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

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Locality Locality — 1 table(s)

VUT 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	Port Vila
`country_code`	Country code	string	SEL	0%	1	VUT
`population`	Population count	integer	SEL	0%	1	72613

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	191
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Vanuatu
`population_year`	population_year	integer	0%	1	2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

VUT Vanuatu Economy and Growth (pivoted) VUT-HDX-Vanuatu___Economy_and_Growth_wide Indicators Wide

1 rows · 1 table(s) · 2024 OCHA HDX / World Bank 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

VUT Vanuatu Economy and Growth (wide) — 1 rows, 244 columns

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Field details — 244 fields (type, nulls, unique, samples)

Extension Fields (244) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Trade_in_services_pct_of_GDP`	Trade_in_services_pct_of_GDP	numeric	0%	1	-
`Communications_computer_etc._pct_of_service_imports_BoP`	Communications_computer_etc._pct_of_service_imports_BoP	numeric	0%	1	-
`Primary_income_payments_BoP_current_USusd`	Primary_income_payments_BoP_current_USusd	numeric	0%	1	-
`Imports_of_goods_and_services_BoP_current_USusd`	Imports_of_goods_and_services_BoP_current_USusd	numeric	0%	1	-
`Insurance_and_financial_services_pct_of_service_imports_BoP`	Insurance_and_financial_services_pct_of_service_imports_BoP	numeric	0%	1	-
`Goods_imports_BoP_current_USusd`	Goods_imports_BoP_current_USusd	numeric	0%	1	-
`Service_imports_BoP_current_USusd`	Service_imports_BoP_current_USusd	numeric	0%	1	-
`Charges_for_the_use_of_intellectual_property_payments_BoP_current_USusd`	Charges_for_the_use_of_intellectual_property_payments_BoP_current_USusd	numeric	0%	1	-
`Imports_of_goods_services_and_primary_income_BoP_current_USusd`	Imports_of_goods_services_and_primary_income_BoP_current_USusd	numeric	0%	1	-
`Transport_services_pct_of_service_imports_BoP`	Transport_services_pct_of_service_imports_BoP	numeric	0%	1	-
`Travel_services_pct_of_service_imports_BoP`	Travel_services_pct_of_service_imports_BoP	numeric	0%	1	-
`Foreign_direct_investment_net_outflows_BoP_current_USusd`	Foreign_direct_investment_net_outflows_BoP_current_USusd	numeric	0%	1	-
`Foreign_direct_investment_net_outflows_pct_of_GDP`	Foreign_direct_investment_net_outflows_pct_of_GDP	numeric	0%	1	-
`Secondary_income_other_sectors_payments_BoP_current_USusd`	Secondary_income_other_sectors_payments_BoP_current_USusd	numeric	0%	1	-
`Personal_remittances_paid_current_USusd`	Personal_remittances_paid_current_USusd	numeric	0%	1	-
`Current_account_balance_BoP_current_USusd`	Current_account_balance_BoP_current_USusd	numeric	0%	1	-
`Current_account_balance_pct_of_GDP`	Current_account_balance_pct_of_GDP	numeric	0%	1	-
`Net_financial_account_BoP_current_USusd`	Net_financial_account_BoP_current_USusd	numeric	0%	1	-
`Net_primary_income_BoP_current_USusd`	Net_primary_income_BoP_current_USusd	numeric	0%	1	-
`Net_trade_in_goods_and_services_BoP_current_USusd`	Net_trade_in_goods_and_services_BoP_current_USusd	numeric	0%	1	-
`Net_trade_in_goods_BoP_current_USusd`	Net_trade_in_goods_BoP_current_USusd	numeric	0%	1	-
`Net_errors_and_omissions_BoP_current_USusd`	Net_errors_and_omissions_BoP_current_USusd	numeric	0%	1	-
`Foreign_direct_investment_net_BoP_current_USusd`	Foreign_direct_investment_net_BoP_current_USusd	numeric	0%	1	-
`Portfolio_investment_net_BoP_current_USusd`	Portfolio_investment_net_BoP_current_USusd	numeric	0%	1	-
`Reserves_and_related_items_BoP_current_USusd`	Reserves_and_related_items_BoP_current_USusd	numeric	0%	1	-
`Net_secondary_income_BoP_current_USusd`	Net_secondary_income_BoP_current_USusd	numeric	0%	1	-
`Net_capital_account_BoP_current_USusd`	Net_capital_account_BoP_current_USusd	numeric	0%	1	-
`Grants_excluding_technical_cooperation_BoP_current_USusd`	Grants_excluding_technical_cooperation_BoP_current_USusd	numeric	0%	1	-
`Technical_cooperation_grants_BoP_current_USusd`	Technical_cooperation_grants_BoP_current_USusd	numeric	0%	1	-
`ICT_service_exports_BoP_current_USusd`	ICT_service_exports_BoP_current_USusd	numeric	0%	1	-
+214 more extension fields — download the CSV/Parquet to see them all.

VUT Vanuatu Education Indicators (pivoted) VUT-HDX-Vanuatu___Education_Indicators_wide Indicators Wide

1 rows · 1 table(s) · 2024 OCHA HDX / World Bank 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)

VUT Vanuatu Education Indicators (wide) — 1 rows, 1,173 columns

Loading data…

Field details — 1173 fields (type, nulls, unique, samples)

Extension Fields (1173) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ADMI.ENDOFLOWERSEC.MAT`	ADMI.ENDOFLOWERSEC.MAT	numeric	0%	1	-
`ADMI.ENDOFLOWERSEC.READ`	ADMI.ENDOFLOWERSEC.READ	numeric	0%	1	-
`ADMI.ENDOFPRIM.MAT`	ADMI.ENDOFPRIM.MAT	numeric	0%	1	-
`ADMI.ENDOFPRIM.READ`	ADMI.ENDOFPRIM.READ	numeric	0%	1	-
`ADMI.GRADE2OR3PRIM.MAT`	ADMI.GRADE2OR3PRIM.MAT	numeric	0%	1	-
`ADMI.GRADE2OR3PRIM.READ`	ADMI.GRADE2OR3PRIM.READ	numeric	0%	1	-
`AIR.1.GLAST`	AIR.1.GLAST	numeric	0%	1	-
`AIR.1.GLAST.F`	AIR.1.GLAST.F	numeric	0%	1	-
`AIR.1.GLAST.GPIA`	AIR.1.GLAST.GPIA	numeric	0%	1	-
`AIR.1.GLAST.M`	AIR.1.GLAST.M	numeric	0%	1	-
`AIR.2.GPV.GLAST`	AIR.2.GPV.GLAST	numeric	0%	1	-
`AIR.2.GPV.GLAST.F`	AIR.2.GPV.GLAST.F	numeric	0%	1	-
`AIR.2.GPV.GLAST.GPIA`	AIR.2.GPV.GLAST.GPIA	numeric	0%	1	-
`AIR.2.GPV.GLAST.M`	AIR.2.GPV.GLAST.M	numeric	0%	1	-
`CR.1`	CR.1	numeric	0%	1	-
`CR.1.F`	CR.1.F	numeric	0%	1	-
`CR.1.F.LPIA`	CR.1.F.LPIA	numeric	0%	1	-
`CR.1.F.WPIA`	CR.1.F.WPIA	numeric	0%	1	-
`CR.1.GPIA`	CR.1.GPIA	numeric	0%	1	-
`CR.1.LPIA`	CR.1.LPIA	numeric	0%	1	-
`CR.1.M`	CR.1.M	numeric	0%	1	-
`CR.1.M.LPIA`	CR.1.M.LPIA	numeric	0%	1	-
`CR.1.M.WPIA`	CR.1.M.WPIA	numeric	0%	1	-
`CR.1.Q1`	CR.1.Q1	numeric	0%	1	-
`CR.1.Q1.F`	CR.1.Q1.F	numeric	0%	1	-
`CR.1.Q1.GPIA`	CR.1.Q1.GPIA	numeric	0%	1	-
`CR.1.Q1.M`	CR.1.Q1.M	numeric	0%	1	-
`CR.1.Q2`	CR.1.Q2	numeric	0%	1	-
`CR.1.Q2.F`	CR.1.Q2.F	numeric	0%	1	-
`CR.1.Q2.GPIA`	CR.1.Q2.GPIA	numeric	0%	1	-
+1143 more extension fields — download the CSV/Parquet to see them all.

VUT Vanuatu Education (pivoted) VUT-HDX-Vanuatu___Education_wide Indicators Wide

1 rows · 1 table(s) · 2024 OCHA HDX / World Bank 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)

VUT Vanuatu Education (wide) — 1 rows, 504 columns

Loading data…

Field details — 504 fields (type, nulls, unique, samples)

Extension Fields (504) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Enrolment_in_pre-primary_education_both_sexes_number`	Enrolment_in_pre-primary_education_both_sexes_number	numeric	0%	1	-
`Enrolment_in_pre-primary_education_female_number`	Enrolment_in_pre-primary_education_female_number	numeric	0%	1	-
`Percentage_of_enrolment_in_pre-primary_education_in_private_institutions_pct`	Percentage_of_enrolment_in_pre-primary_education_in_private_institutions_pct	numeric	0%	1	-
`Teachers_in_pre-primary_education_both_sexes_number`	Teachers_in_pre-primary_education_both_sexes_number	numeric	0%	1	-
`Teachers_in_pre-primary_education_female_number`	Teachers_in_pre-primary_education_female_number	numeric	0%	1	-
`Percentage_of_teachers_in_pre-primary_education_who_are_female_pct`	Percentage_of_teachers_in_pre-primary_education_who_are_female_pct	numeric	0%	1	-
`Enrolment_in_primary_education_female_number`	Enrolment_in_primary_education_female_number	numeric	0%	1	-
`Teachers_in_primary_education_female_number`	Teachers_in_primary_education_female_number	numeric	0%	1	-
`Theoretical_duration_of_lower_secondary_education_years`	Theoretical_duration_of_lower_secondary_education_years	numeric	0%	1	-
`Theoretical_duration_of_upper_secondary_education_years`	Theoretical_duration_of_upper_secondary_education_years	numeric	0%	1	-
`Enrolment_in_secondary_education_female_number`	Enrolment_in_secondary_education_female_number	numeric	0%	1	-
`Share_of_all_students_in_secondary_education_enrolled_in_vocational_programmes_p`	Share_of_all_students_in_secondary_education_enrolled_in_vocational_programmes_p	numeric	0%	1	-
`Gross_enrolment_ratio_lower_secondary_both_sexes_pct`	Gross_enrolment_ratio_lower_secondary_both_sexes_pct	numeric	0%	1	-
`Gross_enrolment_ratio_lower_secondary_female_pct`	Gross_enrolment_ratio_lower_secondary_female_pct	numeric	0%	1	-
`Gross_enrolment_ratio_lower_secondary_male_pct`	Gross_enrolment_ratio_lower_secondary_male_pct	numeric	0%	1	-
`Gross_enrolment_ratio_upper_secondary_both_sexes_pct`	Gross_enrolment_ratio_upper_secondary_both_sexes_pct	numeric	0%	1	-
`Gross_enrolment_ratio_upper_secondary_female_pct`	Gross_enrolment_ratio_upper_secondary_female_pct	numeric	0%	1	-
`Gross_enrolment_ratio_upper_secondary_male_pct`	Gross_enrolment_ratio_upper_secondary_male_pct	numeric	0%	1	-
`Enrolment_in_tertiary_education_all_programmes_both_sexes_number`	Enrolment_in_tertiary_education_all_programmes_both_sexes_number	numeric	0%	1	-
`Enrolment_in_tertiary_education_all_programmes_female_number`	Enrolment_in_tertiary_education_all_programmes_female_number	numeric	0%	1	-
`Teachers_in_tertiary_education_programmes_both_sexes_number`	Teachers_in_tertiary_education_programmes_both_sexes_number	numeric	0%	1	-
`Gross_enrolment_ratio_primary_to_tertiary_both_sexes_pct`	Gross_enrolment_ratio_primary_to_tertiary_both_sexes_pct	numeric	0%	1	-
`Current_expenditure_as_pct_of_total_expenditure_in_public_institutions_pct`	Current_expenditure_as_pct_of_total_expenditure_in_public_institutions_pct	numeric	0%	1	-
`Population_ages_3-5_female`	Population_ages_3-5_female	numeric	0%	1	-
`Population_ages_3-5_male`	Population_ages_3-5_male	numeric	0%	1	-
`Population_ages_3-5_total`	Population_ages_3-5_total	numeric	0%	1	-
`Population_ages_4-6_female`	Population_ages_4-6_female	numeric	0%	1	-
`Population_ages_4-6_male`	Population_ages_4-6_male	numeric	0%	1	-
`Population_ages_4-6_total`	Population_ages_4-6_total	numeric	0%	1	-
`Population_ages_5-9_female`	Population_ages_5-9_female	numeric	0%	1	-
+474 more extension fields — download the CSV/Parquet to see them all.

VUT Vanuatu Gender (pivoted) VUT-HDX-Vanuatu___Gender_wide Indicators Wide

1 rows · 1 table(s) · 2024 OCHA HDX / World Bank 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)

VUT Vanuatu Gender (wide) — 1 rows, 159 columns

Loading data…

Field details — 159 fields (type, nulls, unique, samples)

Extension Fields (159) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Firms_with_female_top_manager_pct_of_firms`	Firms_with_female_top_manager_pct_of_firms	numeric	0%	1	-
`Firms_with_female_participation_in_ownership_pct_of_firms`	Firms_with_female_participation_in_ownership_pct_of_firms	numeric	0%	1	-
`Literacy_rate_youth_female_pct_of_females_ages_15-24`	Literacy_rate_youth_female_pct_of_females_ages_15-24	numeric	0%	1	-
`Literacy_rate_youth_ages_15-24_gender_parity_index_GPI`	Literacy_rate_youth_ages_15-24_gender_parity_index_GPI	numeric	0%	1	-
`Literacy_rate_youth_male_pct_of_males_ages_15-24`	Literacy_rate_youth_male_pct_of_males_ages_15-24	numeric	0%	1	-
`Literacy_rate_adult_female_pct_of_females_ages_15_and_above`	Literacy_rate_adult_female_pct_of_females_ages_15_and_above	numeric	0%	1	-
`Literacy_rate_adult_male_pct_of_males_ages_15_and_above`	Literacy_rate_adult_male_pct_of_males_ages_15_and_above	numeric	0%	1	-
`School_enrollment_primary_gross_gender_parity_index_GPI`	School_enrollment_primary_gross_gender_parity_index_GPI	numeric	0%	1	-
`School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI`	School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI	numeric	0%	1	-
`School_enrollment_secondary_gross_gender_parity_index_GPI`	School_enrollment_secondary_gross_gender_parity_index_GPI	numeric	0%	1	-
`School_enrollment_tertiary_gross_gender_parity_index_GPI`	School_enrollment_tertiary_gross_gender_parity_index_GPI	numeric	0%	1	-
`School_enrollment_preprimary_female_pct_gross`	School_enrollment_preprimary_female_pct_gross	numeric	0%	1	-
`School_enrollment_preprimary_male_pct_gross`	School_enrollment_preprimary_male_pct_gross	numeric	0%	1	-
`Primary_completion_rate_female_pct_of_relevant_age_group`	Primary_completion_rate_female_pct_of_relevant_age_group	numeric	0%	1	-
`Primary_completion_rate_male_pct_of_relevant_age_group`	Primary_completion_rate_male_pct_of_relevant_age_group	numeric	0%	1	-
`Educational_attainment_at_least_completed_primary_population_25+_years_female_pc`	Educational_attainment_at_least_completed_primary_population_25+_years_female_pc	numeric	0%	1	-
`Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_`	Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_	numeric	0%	1	-
`Educational_attainment_at_least_completed_primary_population_25+_years_total_pct`	Educational_attainment_at_least_completed_primary_population_25+_years_total_pct	numeric	0%	1	-
`Primary_education_pupils_pct_female`	Primary_education_pupils_pct_female	numeric	0%	1	-
`School_enrollment_primary_female_pct_gross`	School_enrollment_primary_female_pct_gross	numeric	0%	1	-
`School_enrollment_primary_male_pct_gross`	School_enrollment_primary_male_pct_gross	numeric	0%	1	-
`Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag`	Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag	numeric	0%	1	-
`Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_`	Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_	numeric	0%	1	-
`School_enrollment_primary_female_pct_net`	School_enrollment_primary_female_pct_net	numeric	0%	1	-
`School_enrollment_primary_male_pct_net`	School_enrollment_primary_male_pct_net	numeric	0%	1	-
`Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population`	Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population	numeric	0%	1	-
`Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population`	Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population	numeric	0%	1	-
`Persistence_to_grade_5_female_pct_of_cohort`	Persistence_to_grade_5_female_pct_of_cohort	numeric	0%	1	-
`Persistence_to_grade_5_male_pct_of_cohort`	Persistence_to_grade_5_male_pct_of_cohort	numeric	0%	1	-
`Persistence_to_last_grade_of_primary_female_pct_of_cohort`	Persistence_to_last_grade_of_primary_female_pct_of_cohort	numeric	0%	1	-
+129 more extension fields — download the CSV/Parquet to see them all.

VUT Vanuatu Infrastructure (pivoted) VUT-HDX-Vanuatu___Infrastructure_wide Indicators Wide

1 rows · 1 table(s) · 2024 OCHA HDX / World Bank 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)

VUT Vanuatu Infrastructure (wide) — 1 rows, 32 columns

Loading data…

Field details — 32 fields (type, nulls, unique, samples)

Extension Fields (32) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ICT_service_exports_BoP_current_USusd`	ICT_service_exports_BoP_current_USusd	numeric	0%	1	-
`ICT_service_exports_pct_of_service_exports_BoP`	ICT_service_exports_pct_of_service_exports_BoP	numeric	0%	1	-
`Electricity_production_from_coal_sources_pct_of_total`	Electricity_production_from_coal_sources_pct_of_total	numeric	0%	1	-
`Electricity_production_from_hydroelectric_sources_pct_of_total`	Electricity_production_from_hydroelectric_sources_pct_of_total	numeric	0%	1	-
`Electricity_production_from_natural_gas_sources_pct_of_total`	Electricity_production_from_natural_gas_sources_pct_of_total	numeric	0%	1	-
`Electricity_production_from_nuclear_sources_pct_of_total`	Electricity_production_from_nuclear_sources_pct_of_total	numeric	0%	1	-
`Electricity_production_from_oil_sources_pct_of_total`	Electricity_production_from_oil_sources_pct_of_total	numeric	0%	1	-
`Renewable_internal_freshwater_resources_total_billion_cubic_meters`	Renewable_internal_freshwater_resources_total_billion_cubic_meters	numeric	0%	1	-
`Renewable_internal_freshwater_resources_per_capita_cubic_meters`	Renewable_internal_freshwater_resources_per_capita_cubic_meters	numeric	0%	1	-
`Investment_in_energy_with_private_participation_current_USusd`	Investment_in_energy_with_private_participation_current_USusd	numeric	0%	1	-
`Investment_in_ICT_with_private_participation_current_USusd`	Investment_in_ICT_with_private_participation_current_USusd	numeric	0%	1	-
`Public_private_partnerships_investment_in_energy_current_USusd`	Public_private_partnerships_investment_in_energy_current_USusd	numeric	0%	1	-
`Industrial_design_applications_resident_by_count`	Industrial_design_applications_resident_by_count	numeric	0%	1	-
`Trademark_applications_nonresident_by_count`	Trademark_applications_nonresident_by_count	numeric	0%	1	-
`Trademark_applications_resident_by_count`	Trademark_applications_resident_by_count	numeric	0%	1	-
`Air_transport_registered_carrier_departures_worldwide`	Air_transport_registered_carrier_departures_worldwide	numeric	0%	1	-
`Air_transport_freight_million_ton-km`	Air_transport_freight_million_ton-km	numeric	0%	1	-
`Air_transport_passengers_carried`	Air_transport_passengers_carried	numeric	0%	1	-
`Liner_shipping_connectivity_index_maximum_value_in_2004_=_100`	Liner_shipping_connectivity_index_maximum_value_in_2004_=_100	numeric	0%	1	-
`Container_port_traffic_TEU:_20_foot_equivalent_units`	Container_port_traffic_TEU:_20_foot_equivalent_units	numeric	0%	1	-
`Mobile_cellular_subscriptions`	Mobile_cellular_subscriptions	numeric	0%	1	-
`Mobile_cellular_subscriptions_per_100_people`	Mobile_cellular_subscriptions_per_100_people	numeric	0%	1	-
`Fixed_telephone_subscriptions`	Fixed_telephone_subscriptions	numeric	0%	1	-
`Fixed_telephone_subscriptions_per_100_people`	Fixed_telephone_subscriptions_per_100_people	numeric	0%	1	-
`Fixed_broadband_subscriptions`	Fixed_broadband_subscriptions	numeric	0%	1	-
`Fixed_broadband_subscriptions_per_100_people`	Fixed_broadband_subscriptions_per_100_people	numeric	0%	1	-
`Secure_Internet_servers`	Secure_Internet_servers	numeric	0%	1	-
`Secure_Internet_servers_per_1_million_people`	Secure_Internet_servers_per_1_million_people	numeric	0%	1	-
`Individuals_using_the_Internet_pct_of_population`	Individuals_using_the_Internet_pct_of_population	numeric	0%	1	-
`ICT_goods_imports_pct_total_goods_imports`	ICT_goods_imports_pct_total_goods_imports	numeric	0%	1	-
+2 more extension fields — download the CSV/Parquet to see them all.

VUT Vanuatu Poverty (pivoted) VUT-HDX-Vanuatu___Poverty_wide Indicators Wide

1 rows · 1 table(s) · 2024 OCHA HDX / World Bank 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)

VUT Vanuatu Poverty (wide) — 1 rows, 17 columns

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Field details — 17 fields (type, nulls, unique, samples)

Extension Fields (17) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Population_living_in_slums_pct_of_urban_population`	Population_living_in_slums_pct_of_urban_population	numeric	0%	1	-
`Income_share_held_by_second_20pct`	Income_share_held_by_second_20pct	numeric	0%	1	-
`Income_share_held_by_third_20pct`	Income_share_held_by_third_20pct	numeric	0%	1	-
`Income_share_held_by_fourth_20pct`	Income_share_held_by_fourth_20pct	numeric	0%	1	-
`Income_share_held_by_highest_20pct`	Income_share_held_by_highest_20pct	numeric	0%	1	-
`Income_share_held_by_highest_10pct`	Income_share_held_by_highest_10pct	numeric	0%	1	-
`Proportion_of_people_living_below_50_percent_of_median_income_pct`	Proportion_of_people_living_below_50_percent_of_median_income_pct	numeric	0%	1	-
`Income_share_held_by_lowest_10pct`	Income_share_held_by_lowest_10pct	numeric	0%	1	-
`Income_share_held_by_lowest_20pct`	Income_share_held_by_lowest_20pct	numeric	0%	1	-
`Poverty_headcount_ratio_at_usd3.00_a_day_2021_PPP_pct_of_population`	Poverty_headcount_ratio_at_usd3.00_a_day_2021_PPP_pct_of_population	numeric	0%	1	-
`Poverty_gap_at_usd3.00_a_day_2021_PPP_pct`	Poverty_gap_at_usd3.00_a_day_2021_PPP_pct	numeric	0%	1	-
`Gini_index`	Gini_index	numeric	0%	1	-
`Poverty_headcount_ratio_at_usd4.20_a_day_2021_PPP_pct_of_population`	Poverty_headcount_ratio_at_usd4.20_a_day_2021_PPP_pct_of_population	numeric	0%	1	-
`Poverty_gap_at_usd4.20_a_day_2021_PPP_pct`	Poverty_gap_at_usd4.20_a_day_2021_PPP_pct	numeric	0%	1	-
`Poverty_headcount_ratio_at_national_poverty_lines_pct_of_population`	Poverty_headcount_ratio_at_national_poverty_lines_pct_of_population	numeric	0%	1	-
`Poverty_headcount_ratio_at_usd8.30_a_day_2021_PPP_pct_of_population`	Poverty_headcount_ratio_at_usd8.30_a_day_2021_PPP_pct_of_population	numeric	0%	1	-
`Poverty_gap_at_usd8.30_a_day_2021_PPP_pct`	Poverty_gap_at_usd8.30_a_day_2021_PPP_pct	numeric	0%	1	-

VUT Vanuatu Trade (pivoted) VUT-HDX-Vanuatu___Trade_wide Indicators Wide

1 rows · 1 table(s) · 2024 OCHA HDX / World Bank 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)

VUT Vanuatu Trade (wide) — 1 rows, 120 columns

Loading data…

Field details — 120 fields (type, nulls, unique, samples)

Extension Fields (120) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Trade_in_services_pct_of_GDP`	Trade_in_services_pct_of_GDP	numeric	0%	1	-
`Communications_computer_etc._pct_of_service_imports_BoP`	Communications_computer_etc._pct_of_service_imports_BoP	numeric	0%	1	-
`Imports_of_goods_and_services_BoP_current_USusd`	Imports_of_goods_and_services_BoP_current_USusd	numeric	0%	1	-
`Insurance_and_financial_services_pct_of_service_imports_BoP`	Insurance_and_financial_services_pct_of_service_imports_BoP	numeric	0%	1	-
`Goods_imports_BoP_current_USusd`	Goods_imports_BoP_current_USusd	numeric	0%	1	-
`Service_imports_BoP_current_USusd`	Service_imports_BoP_current_USusd	numeric	0%	1	-
`Imports_of_goods_services_and_primary_income_BoP_current_USusd`	Imports_of_goods_services_and_primary_income_BoP_current_USusd	numeric	0%	1	-
`Transport_services_pct_of_service_imports_BoP`	Transport_services_pct_of_service_imports_BoP	numeric	0%	1	-
`Travel_services_pct_of_service_imports_BoP`	Travel_services_pct_of_service_imports_BoP	numeric	0%	1	-
`Net_trade_in_goods_and_services_BoP_current_USusd`	Net_trade_in_goods_and_services_BoP_current_USusd	numeric	0%	1	-
`Net_trade_in_goods_BoP_current_USusd`	Net_trade_in_goods_BoP_current_USusd	numeric	0%	1	-
`ICT_service_exports_BoP_current_USusd`	ICT_service_exports_BoP_current_USusd	numeric	0%	1	-
`ICT_service_exports_pct_of_service_exports_BoP`	ICT_service_exports_pct_of_service_exports_BoP	numeric	0%	1	-
`Communications_computer_etc._pct_of_service_exports_BoP`	Communications_computer_etc._pct_of_service_exports_BoP	numeric	0%	1	-
`Exports_of_goods_and_services_BoP_current_USusd`	Exports_of_goods_and_services_BoP_current_USusd	numeric	0%	1	-
`Insurance_and_financial_services_pct_of_service_exports_BoP`	Insurance_and_financial_services_pct_of_service_exports_BoP	numeric	0%	1	-
`Goods_exports_BoP_current_USusd`	Goods_exports_BoP_current_USusd	numeric	0%	1	-
`Service_exports_BoP_current_USusd`	Service_exports_BoP_current_USusd	numeric	0%	1	-
`Exports_of_goods_services_and_primary_income_BoP_current_USusd`	Exports_of_goods_services_and_primary_income_BoP_current_USusd	numeric	0%	1	-
`Transport_services_pct_of_service_exports_BoP`	Transport_services_pct_of_service_exports_BoP	numeric	0%	1	-
`Travel_services_pct_of_service_exports_BoP`	Travel_services_pct_of_service_exports_BoP	numeric	0%	1	-
`Taxes_on_exports_pct_of_tax_revenue`	Taxes_on_exports_pct_of_tax_revenue	numeric	0%	1	-
`Customs_and_other_import_duties_pct_of_tax_revenue`	Customs_and_other_import_duties_pct_of_tax_revenue	numeric	0%	1	-
`Arms_imports_SIPRI_trend_indicator_values`	Arms_imports_SIPRI_trend_indicator_values	numeric	0%	1	-
`Exports_of_goods_and_services_current_USusd`	Exports_of_goods_and_services_current_USusd	numeric	0%	1	-
`Exports_of_goods_and_services_constant_2015_USusd`	Exports_of_goods_and_services_constant_2015_USusd	numeric	0%	1	-
`Exports_of_goods_and_services_annual_pct_growth`	Exports_of_goods_and_services_annual_pct_growth	numeric	0%	1	-
`Exports_of_goods_and_services_pct_of_GDP`	Exports_of_goods_and_services_pct_of_GDP	numeric	0%	1	-
`Imports_of_goods_and_services_current_USusd`	Imports_of_goods_and_services_current_USusd	numeric	0%	1	-
`Imports_of_goods_and_services_constant_2015_USusd`	Imports_of_goods_and_services_constant_2015_USusd	numeric	0%	1	-
+90 more extension fields — download the CSV/Parquet to see them all.

VUT Global Organized Crime Index VUT-OCINDEX Crime Index

1 rows · 1 table(s) · 2025 GI-TOC / ENACT 0 1 2 3 13 CCL 22 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)

VUT Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 139 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	CCL	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	CCL	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	CCL	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	CCL	0%	1	-
`oc_criminality`	oc_criminality	numeric	CCL	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	CCL	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	CCL	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	CCL	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	CCL	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	CCL	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	CCL	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	CCL	0%	1	-
`oc_resilience`	oc_resilience	numeric	CCL	0%	1	-

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

Field Name	Label	Type	Nulls	Unique	Samples
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	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_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_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	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_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
`oc_state_embedded_actors`	oc_state_embedded_actors	numeric	0%	1	-
`oc_synthetic_drug_trade`	oc_synthetic_drug_trade	numeric	0%	1	-
`oc_territorial_integrity`	oc_territorial_integrity	numeric	0%	1	-
`oc_trade_in_counterfeit_goods`	oc_trade_in_counterfeit_goods	numeric	0%	1	-

Pending (104) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`iso3`	iso3	string	0%	1	VUT
`source`	source	string	0%	1	Global Organized Crime Index
`source_url`	source_url	string	0%	1	https://ocindex.net/
`year`	year	integer	0%	1	2025
`license`	license	string	0%	1	Creative Commons (GI-TOC / ENACT)
`oc_anti_money_laundering_rank`	oc_anti_money_laundering_rank	integer	0%	1	170
`oc_anti_money_laundering_2023`	oc_anti_money_laundering_2023	integer	0%	1	3
`oc_anti_money_laundering_2021`	oc_anti_money_laundering_2021	integer	0%	1	4
`oc_arms_trafficking_rank`	oc_arms_trafficking_rank	integer	0%	1	188
`oc_arms_trafficking_2023`	oc_arms_trafficking_2023	float	0%	1	1.5
`oc_arms_trafficking_2021`	oc_arms_trafficking_2021	float	0%	1	1.5
`oc_cannabis_trade_rank`	oc_cannabis_trade_rank	integer	0%	1	182
`oc_cannabis_trade_2023`	oc_cannabis_trade_2023	float	0%	1	3.5
`oc_cannabis_trade_2021`	oc_cannabis_trade_2021	integer	0%	1	3
`oc_cocaine_trade_rank`	oc_cocaine_trade_rank	integer	0%	1	151
`oc_cocaine_trade_2023`	oc_cocaine_trade_2023	float	0%	1	2.5
`oc_cocaine_trade_2021`	oc_cocaine_trade_2021	integer	0%	1	2
`oc_criminal_actors_rank`	oc_criminal_actors_rank	integer	0%	1	186
`oc_criminal_actors_2023`	oc_criminal_actors_2023	float	0%	1	2.2
`oc_criminal_actors_2021`	oc_criminal_actors_2021	integer	0%	1	2
`oc_criminal_markets_rank`	oc_criminal_markets_rank	integer	0%	1	182
`oc_criminal_markets_2023`	oc_criminal_markets_2023	float	0%	1	2.67
`oc_criminal_markets_2021`	oc_criminal_markets_2021	float	0%	1	2.4
`oc_criminal_networks_rank`	oc_criminal_networks_rank	integer	0%	1	189
`oc_criminal_networks_2023`	oc_criminal_networks_2023	float	0%	1	1.5
`oc_criminal_networks_2021`	oc_criminal_networks_2021	integer	0%	1	1
`oc_criminality_rank`	oc_criminality_rank	integer	0%	1	186
`oc_criminality_2023`	oc_criminality_2023	float	0%	1	2.43
`oc_criminality_2021`	oc_criminality_2021	float	0%	1	2.2
`oc_cyber_dependent_crimes_rank`	oc_cyber_dependent_crimes_rank	integer	0%	1	150
+74 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share	Script
English (eng)	435	48.7%	—
French (fra)	246	27.5%	—
Bislama (bis)	213	23.8%	—

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
SPC Pacific Data Hub (Pacific Community)	international_organization	api
OCHA HDX / World Bank	international_organization	bulk_download
World Bank Open Data	international_organization	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Global Data Lab	academic	api
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
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