Vanuatu

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

7 rows · 2 tables · 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 · 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 · 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 — 1010 fields (type, nulls, unique, samples)

Extension Fields (1010) — 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
+980 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 · 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 — 490 fields (type, nulls, unique, samples)

Extension Fields (490) — 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
+460 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 · 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 — 3,805 rows, 2,347 columns

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Field details — 2349 fields (type, nulls, unique, samples)

Extension Fields (2349) — 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
+2319 more extension fields — download the CSV/Parquet to see them all.

VUT Vanuatu Gender VUT-HDX-Vanuatu___Gender Indicators

3,643 rows · 1 table · 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 — 320 fields (type, nulls, unique, samples)

Extension Fields (320) — 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
+290 more extension fields — download the CSV/Parquet to see them all.

VUT Vanuatu Trade VUT-HDX-Vanuatu___Trade Indicators

3,571 rows · 1 table · 2024 OCHA HDX / World Bank 0 1 2 3 ▶

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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)

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

Field Name	Label	Type	Nulls	Unique	Samples
`Country Name`	Country Name	text	0%	-	-
`Country ISO3`	Country ISO3	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 · 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 · 2024 OCHA HDX / World Bank 0 1 2 3 ▶

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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)

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

Field Name	Label	Type	Nulls	Unique	Samples
`Country Name`	Country Name	text	0%	-	-
`Country ISO3`	Country ISO3	text	0%	-	-
`Year`	Year	text	0%	-	-
`Indicator Name`	Indicator Name	text	0%	-	-
`Indicator Code`	Indicator Code	text	0%	-	-
`Value`	Value	text	0%	-	-

VUT World Bank Open Data VUT-WORLD_BANK Development Indicators

198 rows · 3 tables · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 3 table(s)

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

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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 World Bank - Migration Indicators — 66 rows, 9 columns

Loading data…

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

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	VUT, VUT, VUT, VUT, VUT
`country_name`	country_name	string	0%	1	Vanuatu, Vanuatu, Vanuatu, Vanuatu, Vanuatu
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	2308.0, 2461.0, 2626.0, 2800.0, 2991.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	7	1.6, 1.5, 1.4, 1.3, 1.3
`net_migration`	net_migration	float	0%	52	0.0, 0.0, 0.0, 0.0, 0.0
`remittances_received_usd`	remittances_received_usd	float	38%	41	9354780.197, 7145181.656, 8468008.041, 8735109.329, 8022562.027
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	38%	41	8.16997724394495, 6.08672697091059, 5.86092235410776,...
`remittances_paid_usd`	remittances_paid_usd	float	38%	41	17088064.19, 12026044.85, 14647955.89, 15122900.96, 13905146.6

VUT Glottolog Language Catalog VUT-GLOTTOLOG Language

123 rows · 1 table · 2024 Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 8 ext ▶

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0 Admin 0 — 1 table(s)

VUT Glottolog - Languages — 123 rows, 16 columns

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

Standards-Aligned Fields (13)

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%	-	-
`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 (8) — 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
`country_codes`	Country codes	string	0%	2	['VU'], ['VU'], ['VU'], ['VU'], ['VU']
`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 tables · 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

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	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

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	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 · 2024 OCHA HDX / World Bank 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

VUT Vanuatu Risk Assessment Indicators — 66 rows, 9 columns

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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 · 2024 OCHA HDX / World Bank 0 1 2 3 ▶

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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)

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

Field Name	Label	Type	Nulls	Unique	Samples
`Country Name`	Country Name	text	0%	-	-
`Country ISO3`	Country ISO3	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 tables · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 44 ext ▶

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

0 Admin 0 — 2 table(s)

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 tables · 2024 OpenFactBook 0 1 2 3 90 SEL 2 CCL 515 ext ▶

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

0 Admin 0 — 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 (7)

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_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 (15) — 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_country_code_text`	Internet country code text	string	0%	1	.vu
`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

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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
`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

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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
`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

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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

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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 (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`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 (21) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	YJ
`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 tables · 2024 D-PLACE 0 1 2 3 2 SEL 16 CCL 55 ext ▶

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0 Admin 0 — 2 table(s)

VUT D-PLACE - Dplace Ea Societies — 6 rows, 23 columns

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Field details — 23 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	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%	4	EA017:3; EA018:3; EA019:1; EA020:1; EA021:9; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	6	EA006:1; EA007:8; EA008:2; EA009:2; EA023:1; EA025:1,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	6	EA001:0; EA002:0; EA003:2; EA004:1; EA005:7; EA028:4;...
`political_complexity`	Political complexity	string	CCL	0%	4	EA032:2; EA033:2, EA032:NA; EA033:NA, EA032: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	EA010:8; EA011:1; EA012:8; EA013:9; EA014:11, EA010:NA;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	3	EA030:7; EA031:NA, EA030:NA; EA031:NA, EA030: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, 49 columns

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Field details — 50 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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	, , , ,
`settlement_pattern`	settlement_pattern	integer	CCL	67%	1	2, 2

Extension Fields (44) — 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
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	50%	2	2, 2, 3
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	50%	2	2, 1, 1
`religion_high_gods`	religion_high_gods	integer	83%	1	1
`trance_states`	trance_states	integer	67%	2	8, 1
`settlement_patterns`	settlement_patterns	integer	50%	1	7, 7, 7
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	83%	1	2
`marital_residence_first_years`	marital_residence_first_years	integer	17%	1	8, 8, 8, 8, 8
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	17%	1	1, 1, 1, 1, 1
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	17%	1	8, 8, 8, 8, 8
`residence_transfer_alternate`	residence_transfer_alternate	integer	17%	1	9, 9, 9, 9, 9
`marital_residence_alternate`	marital_residence_alternate	integer	17%	1	11, 11, 11, 11, 11
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	3	3, 3, 3, 5, 5
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	3	3, 3, 3, 5, 5
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	2	1, 1, 1, 6, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	2	1, 1, 1, 6, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	1	9, 9, 9, 9, 9
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9, 9, 9, 9, 9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	0%	3	5, 5, 5, 7, 1
`descent_major_type`	descent_major_type	integer	0%	2	1, 1, 1, 2, 1
+14 more extension fields — download the CSV/Parquet to see them all.

VUT LandScan Global (ORNL) VUT-LANDSCAN Modeled Population

8 rows · 3 tables · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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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 · 2024 OCHA HDX / World Bank 0 1 2 3 ▶

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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)

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

Field Name	Label	Type	Nulls	Unique	Samples
`Country ISO3`	Country ISO3	text	0%	-	-
`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 tables · 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

Loading data…

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 row · 1 table · 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 row · 1 table · 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) — 65 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 row · 1 table · 2024 OCHA HDX / World Bank 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

VUT Vanuatu Education Indicators (wide) — 46 rows, 1,173 columns

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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 row · 1 table · 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) — 66 rows, 504 columns

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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 row · 1 table · 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) — 66 rows, 159 columns

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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 row · 1 table · 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 row · 1 table · 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 row · 1 table · 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) — 65 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 INFORM Risk Index (EC-JRC) VUT-INFORM Risk Index

1 row · 1 table · 2026 INFORM Risk Index (EC-JRC) 0 1 2 3 ▶

1 rows × 274 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

VUT Inform - Risk Index — 1 rows, 274 columns

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Field details — 274 fields (type, nulls, unique, samples)

Pending (274) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	VUT
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	0.0
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.0
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.0
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	12190.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.35
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	2.03952304185139
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	9.4
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	12.8709602355957
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	6.0
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	5.6
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	6.5
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	9.7
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	5.6
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	4.7
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	7.8
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	4.2
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	1.1
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	9.6
`inform_cc_inf_com`	Communication	float	0%	1	4.3
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	5.7
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	3.5
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	2.5
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	5.4
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	5.9
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	2.6
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	9.3
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	5.8
`inform_institutional_capacity`	Institutional	float	0%	1	6.4
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	6.9
+244 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
SPC Pacific Data Hub (Pacific Community)	international_organization	api
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
OCHA HDX / World Bank	international_organization	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
Glottolog Language Catalog	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
World Bank Open Data	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download