Lithuania

Lithuania Register Census (Eurostat demo_r_pjangrp3) LTU-EUROSTAT-CENSUS Census

14 rows · 4 tables · 2023 Eurostat 0 1 2 3 16 SEL 8 ext ▶

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

0 Admin 0 — 1 table(s)

Lithuania Register Census — National — 1 rows, 6 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`region_code`	region code	string	SEL	0%	-	LT
`region_name`	region name	string	SEL	0%	-	Lithuania
`admin_level`	admin level	string	SEL	0%	-	admin_0
`population_total`	population total	integer	SEL	0%	-	2857279

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	1335816
`population_women`	population women	integer	0%	-	1521463

1 Admin 1 — 1 table(s)

Lithuania Register Census — NUTS-1 — 1 rows, 6 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`region_code`	region code	string	SEL	0%	-	LT0
`region_name`	region name	string	SEL	0%	-	Lietuva
`admin_level`	admin level	string	SEL	0%	-	admin_1
`population_total`	population total	integer	SEL	0%	-	2857279

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	1335816
`population_women`	population women	integer	0%	-	1521463

2 Admin 2 — 1 table(s)

Lithuania Register Census — NUTS-2 — 2 rows, 6 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`region_code`	region code	string	SEL	0%	-	LT01, LT02
`region_name`	region name	string	SEL	0%	-	Sostinės regionas, Vidurio ir vakarų Lietuvos regionas
`admin_level`	admin level	string	SEL	0%	-	admin_2, admin_2
`population_total`	population total	integer	SEL	0%	-	848724, 2008555

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	397128, 938688
`population_women`	population women	integer	0%	-	451596, 1069867

3 Admin 3 — 1 table(s)

Lithuania Register Census — NUTS-3 — 10 rows, 6 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`region_code`	region code	string	SEL	0%	-	LT011, LT021, LT022, LT023, LT024
`region_name`	region name	string	SEL	0%	-	Vilniaus apskritis, Alytaus apskritis, Kauno apskritis,...
`admin_level`	admin level	string	SEL	0%	-	admin_3, admin_3, admin_3, admin_3, admin_3
`population_total`	population total	integer	SEL	0%	-	848724, 135620, 579903, 334281, 135787

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	397128, 63368, 269127, 156540, 64536
`population_women`	population women	integer	0%	-	451596, 72252, 310776, 177741, 71251

LTU World Bank Open Data LTU-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)

LTU 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	LT, LT, LT, LT, LT
`population_count`	Population count	float	SEL	2%	65	2778550.0, 2823550.0, 2863350.0, 2898950.0, 2935200.0
`life_expectancy`	Life expectancy	float	SEL	3%	63	69.8473170731707, 70.1026829268293, 69.0953658536585,...
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	55%	30	2182.69156931505, 2340.67545970008, 2844.16286797492,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	96%	3	98.4400024414062, 99.6500015258789, 99.8199996948242
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	14%	53	26.3, 26.3, 25.1, 22.9, 21.1
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	73%	11	20.5, 20.0, 19.1, 20.9, 20.3

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

LTU 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	LT, LT, LT, LT, LT
`life_expectancy`	Life expectancy	float	SEL	3%	63	69.8473170731707, 70.1026829268293, 69.0953658536585,...
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	35%	34	7.2, 7.0, 6.9, 7.0, 7.1
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	14%	53	26.3, 26.3, 25.1, 22.9, 21.1
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	17	35.0, 30.0, 28.0, 28.0, 31.0
`fertility_rate`	Fertility rate	float	SEL	3%	48	2.56, 2.53, 2.45, 2.35, 2.28
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	46	22.5, 22.2, 20.9, 19.7, 19.0
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	44	7.8, 7.9, 8.7, 8.0, 7.4
`physicians_per_1000`	Physicians per 1000	float	SEL	42%	36	3.72, 3.816, 3.885, 3.941, 3.977
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	41%	37	12.0663995742798, 12.7760000228882, 12.7692003250122,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	50%	11	78.0, 83.0, 83.0, 90.0, 91.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	62%	25	6.18559313, 6.00193262, 6.13477659, 6.17724085, 5.48347187

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

LTU World Bank - Migration Indicators — 66 rows, 9 columns

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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	LTU, LTU, LTU, LTU, LTU
`country_name`	country_name	string	0%	1	Lithuania, Lithuania, Lithuania, Lithuania, Lithuania
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	349258.0, 273587.0, 214311.0, 201209.0, 160772.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	5	9.5, 7.5, 6.1, 6.1, 5.2
`net_migration`	net_migration	float	0%	66	2328.0, 2550.0, 2899.0, 3428.0, 3820.0
`remittances_received_usd`	remittances_received_usd	float	50%	33	34529.8834, 743072.0925, 1095000.0, 2575000.0, 2927500.0
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	53%	31	0.0138236450372741, 0.0305449195941798,...
`remittances_paid_usd`	remittances_paid_usd	float	50%	33	90194.2741796212, 593128.995141908, 967500.0,...

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

70 rows · 3 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 5 SEL 12 CCL 31 ext ▶

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0 Admin 0 — 3 table(s)

LTU NGA GNS - Language — 9 rows, 9 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	LTU, LTU, LTU, LTU, LTU
`gns_language_code`	gns_language_code	string	CCL	0%	9	lit, rus, eng, lav, bel
`gns_language_name`	gns_language_name	string	CCL	0%	9	Lithuanian, Russian, English, Latvian, Belarusian
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	9	34759, 355, 69, 62, 47
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	9	98.3949, 1.0049, 0.1953, 0.1755, 0.133
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	3	0, 29, 0, 0, 15
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	3	Latn, Cyrl, Latn, , Cyrl
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	3	Latin, Cyrillic, Latin, , Cyrillic
`gns_script_count`	gns_script_count	integer	CCL	0%	3	1, 2, 1, 0, 2

LTU 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	LTU
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Lithuania
`gns_language_count`	gns_language_count	integer	CCL	0%	1	9
`gns_script_count`	gns_script_count	integer	CCL	0%	1	2
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9878
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	44

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	49052
`gns_feature_count`	gns_feature_count	integer	0%	1	33745
`gns_endonym_count`	gns_endonym_count	integer	0%	1	49046
`gns_exonym_count`	gns_exonym_count	integer	0%	1	6
`gns_source_build_date`	gns_source_build_date	string	0%	1	Thu, 24 Sep 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-09-24
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	33110
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	20836
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	9609
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	7703
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	3904
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	3782
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	1004
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	904
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	201
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	74
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	1002
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	296
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	222
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	150

LTU NGA GNS - Admin Crosswalk — 60 rows, 12 columns

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

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	LTU, LTU, LTU, LTU, LTU

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_ufi`	gns_ufi	integer	0%	60	-2612550, -2612643, -2612642, -2612737, -2613292
`admin_designation`	admin_designation	string	0%	1	ADM1, ADM1, ADM1, ADM1, ADM1
`gns_bgn_name`	gns_bgn_name	string	0%	60	Akmenė, Alytaus Miestas, Alytus, Anykščiai, Birštonas
`gns_local_name`	gns_local_name	string	100%	-	-
`iso_3166_2`	iso_3166_2	string	0%	60	LT-01, LT-02, LT-03, LT-04, LT-05
`parent_code`	parent_code	string	0%	1	LTU, LTU, LTU, LTU, LTU
`gns_prominence_band`	gns_prominence_band	integer	0%	1	7, 7, 7, 7, 7
`latitude`	latitude	float	0%	53	56.25, 54.4, 54.35, 55.55, 54.575
`longitude`	longitude	float	0%	55	22.833333, 24.033333, 24.016667, 25.066667, 24.033333
`gns_mgrs`	gns_mgrs	string	0%	60	34VFH1359435416, 35ULA0743332082, 35ULA0611626567,...
`name_variant_count`	name_variant_count	integer	0%	4	3, 2, 3, 3, 3

LTU UNHCR Refugee Data Finder LTU-UNHCR Migration

65 rows · 2 tables · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

LTU UNHCR - Hosted Populations — 29 rows, 24 columns

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

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

LTU UNHCR - Origin Populations — 36 rows, 24 columns

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

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

LTU Glottolog Language Catalog LTU-GLOTTOLOG Language

16 rows · 1 table · 2024 Glottolog Language Catalog 0 1 2 3 12 CCL 4 ext ▶

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0 Admin 0 — 1 table(s)

LTU Glottolog - Languages — 16 rows, 16 columns

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	16	balk1252, balt1257, bela1254, carp1235, crim1257
`name`	Name	string	CCL	0%	16	Balkan Romani, Baltic Romani, Belarusian, Central...
`iso639_3`	Iso639 3	string	CCL	0%	16	rmn, rml, bel, rmc, crh
`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%	4	indo1319, indo1319, indo1319, indo1319, turk1311
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	11	roma1329, roma1329, east1426, roma1329, crim1259
`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%	9	19, 7, 3, 14, 3

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	16	42.67, 57.29, 53.2307, 48.1968, 45.0
`longitude`	longitude	float	0%	16	21.17, 29.06, 25.6038, 20.3129, 34.08
`country_codes`	Country codes	string	0%	15	['AL', 'AT', 'BA', 'BG', 'BY', 'CH', 'CZ', 'DE', 'FI',...
`classification`	classification	string	0%	1	[], [], [], [], []

LTU LandScan Global (ORNL) LTU-LANDSCAN Modeled Population

15 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)

LTU 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	LTU
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Lithuania
`admin_code`	Admin code	string	SEL	0%	1	91383639B65529210776519
`area_sqkm`	Area sqkm	float	SEL	0%	1	64898.3147
`pop_2024`	Population count	integer	SEL	0%	1	2626842
`pop_density_2024`	Population density	float	SEL	0%	1	40.48

1 Admin 1 — 1 table(s)

LTU LandScan - Population Admin1 (admin_1) — 10 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	LTU, LTU, LTU, LTU, LTU
`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%	10	Vilnius County, Kaunas County, Klaipeda County, Siauliai...
`admin_code`	Admin code	string	SEL	0%	10	39236102B79521903246642, 39236102B54951608919811,...
`area_sqkm`	Area sqkm	float	SEL	0%	10	9743.9487, 8079.0346, 4819.8224, 8542.0192, 7876.4349
`pop_2024`	Population count	integer	SEL	0%	10	758142, 532615, 299845, 245189, 202196
`pop_density_2024`	Population density	float	SEL	0%	10	77.81, 65.93, 62.21, 28.7, 25.67

Locality Locality — 1 table(s)

LTU LandScan - Cities (locality) — 4 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	LTU, LTU, LTU, LTU
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	4	Vilnius, Kaunas, Klaipėda, Panevėžys
`admin_code`	Admin code	integer	SEL	0%	4	578, 275, 95, 433
`area_sqkm`	Area sqkm	float	SEL	0%	4	89.2034, 84.1896, 37.0902, 23.0563
`pop_2024`	Population count	integer	SEL	0%	4	353223, 230123, 117872, 66979
`pop_density_2024`	Population density	float	SEL	0%	4	3959.75, 2733.39, 3177.98, 2905.02

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%	4	339420, 236910, 103210, 69938
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	4	1.041, 0.971, 1.142, 0.958

LTU OpenFactBook LTU-OPENFACTBOOK Country Profile

14 rows · 14 tables · 2024 OpenFactBook 0 1 2 3 90 SEL 1 CCL 583 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)

LTU 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	8.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	139.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	89.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	28.0
`country_code`	Country code	string	SEL	0%	1	LTU
`country_name`	Country name	string	SEL	0%	1	Lithuania
`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	224,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	224000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	8 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	3.97 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	3.97
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	139 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	public broadcaster operates 3 channels, with the third...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	3.0
`internet_country_code_text`	Internet country code text	string	0%	1	.lt
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	89% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	806,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	806000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	28 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	europe/lh.json

LTU OpenFactBook - Economy — 1 rows, 150 columns

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Field details — 155 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	47200.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	84.869
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	20.9
`country_code`	Country code	string	SEL	0%	1	LTU
`country_name`	Country name	string	SEL	0%	1	Lithuania
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (149) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	high-income EU and eurozone member, largest Baltic...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$136.227 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	136.227
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$132.552 billion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	132.552
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$132.099 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	132.099
`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	2.8% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	2.8
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	0.3% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	0.3
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	2.5% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	2.5
`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	$47,200 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$46,200 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	46200.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$46,700 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	46700.0
`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	$84.869 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	0.7% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	0.7
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	9.1% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	9.1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	19.7% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	19.7
`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	2.6% (2024 est.)
+119 more extension fields — download the CSV/Parquet to see them all.

LTU OpenFactBook - Energy — 1 rows, 49 columns

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Field details — 49 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	100.0
`country_code`	Country code	string	SEL	0%	1	LTU
`country_name`	Country name	string	SEL	0%	1	Lithuania
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (45) — 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	100% (2022 est.)
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	5.426 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	5.426
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	10.992 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	10.992
`electricity_exports_text`	electricity_exports_text	string	0%	1	3.98 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	3.98
`electricity_imports_text`	electricity_imports_text	string	0%	1	10.91 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	10.91
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	829.9 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	829.9
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	16.3% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	16.3
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	14.1% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	14.1
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	51% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	51.0
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	4.8% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	4.8
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	13.8% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	13.8
`nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_text`	nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_text	string	0%	1	2 (2025)
`nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_numeric`	nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_numeric	float	0%	1	2.0
`coal_consumption_text`	coal_consumption_text	string	0%	1	166,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	166000.0
`coal_exports_text`	coal_exports_text	string	0%	1	78,000 metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	78000.0
`coal_imports_text`	coal_imports_text	string	0%	1	149,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	149000.0
`petroleum_total_petroleum_production_text`	petroleum_total_petroleum_production_text	string	0%	1	4,000 bbl/day (2023 est.)
+15 more extension fields — download the CSV/Parquet to see them all.

LTU OpenFactBook - Environment — 1 rows, 43 columns

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Field details — 48 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	45.9
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	35.3
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	68.7
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	-0.12
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	1.315
`country_code`	Country code	string	SEL	0%	1	LTU
`country_name`	Country name	string	SEL	0%	1	Lithuania
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (40) — 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; air pollution; deforestation;...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Air Pollution, Air Pollution-Heavy Metals, Air...
`international_environmental_agreements_party_to_numeric`	international_environmental_agreements_party_to_numeric	float	0%	1	85.0
`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	transitional, between maritime and continental; wet,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	45.9% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 36.8% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	36.8
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.5% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.5
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 8.6% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	8.6
`land_use_forest_text`	land_use_forest_text	string	0%	1	35.3% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	18.8% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	18.8
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	68.7% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	-0.12% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	12.877 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	12.877
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	380,000 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1	380000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	9.61 million 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	9.61
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	2.887 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_consumed_natural_gas_numeric`	carbon_dioxide_emissions_from_consumed_natural_gas_numeric	float	0%	1	2.887
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	11.5 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	11.5
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	1.315 million 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	34.9% (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	34.9
+10 more extension fields — download the CSV/Parquet to see them all.

LTU OpenFactBook - Ethnic Groups — 1 rows, 8 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	LTU
`country_name`	Country name	string	SEL	0%	1	Lithuania
`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	Lithuanian(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Lithuanian
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Lithuanian 84.6%, Polish 6.5%, Russian 5%, Belarusian...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	84.6
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	europe/lh.json

LTU OpenFactBook - Geography — 1 rows, 50 columns

Loading data…

Field details — 52 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	65300.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	62680.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	2620.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	1545.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	90.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	294.0
`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	45.9
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	35.3
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	61.0
`country_code`	Country code	string	SEL	0%	1	LTU
`country_name`	Country name	string	SEL	0%	1	Lithuania
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (39) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Eastern Europe, bordering the Baltic Sea, between Latvia...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	56 00 N, 24 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	56.0
`map_references_text`	map_references_text	string	0%	1	Europe
`area_total_text`	area_total_text	string	0%	1	65,300 sq km
`area_land_text`	area_land_text	string	0%	1	62,680 sq km
`area_water_text`	area_water_text	string	0%	1	2,620 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly larger than West Virginia
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	1,545 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Belarus 640 km; Latvia 544 km; Poland 100 km; Russia...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	640.0
`coastline_text`	coastline_text	string	0%	1	90 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
`climate_text`	climate_text	string	0%	1	transitional, between maritime and continental; wet,...
`terrain_text`	terrain_text	string	0%	1	lowland, many scattered small lakes, fertile soil
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Aukstojas 294 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Baltic Sea 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	110 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	110.0
`natural_resources_text`	natural_resources_text	string	0%	1	peat, arable land, amber
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	45.9% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 36.8% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	36.8
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.5% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.5
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 8.6% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	8.6
`land_use_forest_text`	land_use_forest_text	string	0%	1	35.3% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	18.8% (2023 est.)
+9 more extension fields — download the CSV/Parquet to see them all.

LTU OpenFactBook - Government — 1 rows, 80 columns

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Field details — 107 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	LTU
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (105) — 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 Lithuania
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Lithuania
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Lietuvos Respublika
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Lietuva
`country_name_former_text`	country_name_former_text	string	0%	1	Lithuanian Soviet Socialist Republic (while occupied by the USSR)
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	meaning of the name is obscure; may be derived from the...
`government_type_text`	government_type_text	string	0%	1	semi-presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Vilnius
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	54 41 N, 25 19 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	54.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+2 (7 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	2.0
`capital_daylight_saving_time_text`	capital_daylight_saving_time_text	string	0%	1	+1hr, begins last Sunday in March; ends last Sunday in October
`capital_daylight_saving_time_numeric`	capital_daylight_saving_time_numeric	float	0%	1	1.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	named after the Vilnia River; the river name is said to...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	60 municipalities (savivaldybe, singular - savivaldybe);...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	60.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system; legislative acts can be appealed to...
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest adopted by referendum 25...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	25.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by at least one fourth of all Parliament...
`constitution_amendment_process_numeric`	constitution_amendment_process_numeric	float	0%	1	300000.0
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	accepts compulsory ICJ jurisdiction with reservations;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	no
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	at least one parent must be a citizen of Lithuania
`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
+75 more extension fields — download the CSV/Parquet to see them all.

LTU OpenFactBook - Introduction — 1 rows, 6 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	LTU
`country_name`	Country name	string	SEL	0%	1	Lithuania
`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	Lithuanian lands were united under MINDAUGAS in 1236;...
`background_numeric`	background_numeric	float	0%	1	1236.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	europe/lh.json

LTU OpenFactBook - Languages — 1 rows, 7 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	LTU
`country_name`	Country name	string	SEL	0%	1	Lithuania
`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
`languages_languages_text`	Languages (text)	string	0%	1	Lithuanian (official) 85.3%, Russian 6.8%, Polish 5.1%,...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	85.3
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	Pasaulio enciklopedija – naudingas bendrosios...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	europe/lh.json

LTU OpenFactBook - Migration — 1 rows, 9 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	LTU
`country_name`	Country name	string	SEL	0%	1	Lithuania
`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_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	53,859 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	53859.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	2,236 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	2236.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	europe/lh.json

LTU OpenFactBook - Military And Security — 1 rows, 22 columns

Loading data…

Field details — 27 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	LTU
`country_name`	Country name	string	SEL	0%	1	Lithuania
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (24) — 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	Lithuanian Armed Forces (Lietuvos Ginkluotosios...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2025_text`	Military expenditures 2025 (text)	string	0%	1	4% of GDP (2025 est.)
`military_expenditures_military_expenditures_2025_numeric`	Military expenditures 2025 (numeric)	float	0%	1	4.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	3.1% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	3.1
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	2.7% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	2.7
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	2.4% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	2.4
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	2% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	2.0
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 20,000 active-duty military personnel (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	20000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory is a mix of mostly European and...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	2025.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	19-26 years of age for conscripted military service for...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	19.0
`military_deployments_text`	military_deployments_text	string	0%	1	note: contributes about 350-550 troops to the Lithuania,...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	350.0
`military_note_text`	military_note_text	string	0%	1	the Lithuanian Armed Forces are responsible for the...
`military_note_numeric`	military_note_numeric	float	0%	1	2014.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	europe/lh.json

LTU OpenFactBook - People And Society — 1 rows, 132 columns

Loading data…

Field details — 144 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	2815687.0
`population_male_numeric`	Population male	float	SEL	0%	1	1334600.0
`population_female_numeric`	Population female	float	SEL	0%	1	1481087.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	15.2
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	62.6
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	22.2
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	56.5
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	23.3
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	33.3
`median_age_total_numeric`	Median age	float	SEL	0%	1	44.0
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	-0.71
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	7.01
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	14.1
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	0.0
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	68.7
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	-0.12
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.06
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.86
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	8.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	2.5
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	76.1
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.22
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.6
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	6.1
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	6.0
`country_code`	Country code	string	SEL	0%	1	LTU
`country_name`	Country name	string	SEL	0%	1	Lithuania
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (116) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	2,815,687 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	1,334,600
`population_female_text`	population_female_text	string	0%	1	1,481,087
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	15.2% (male 205,154/female 194,386)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	62.6% (male 808,435/female 837,908)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	22.2% (2024 est.) (male 201,405/female 380,898)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	56.5 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	23.3 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	33.3 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	3 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	3.0
`median_age_total_text`	median_age_total_text	string	0%	1	44 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	40.9 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	40.9
`median_age_female_text`	median_age_female_text	string	0%	1	49.2 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	49.2
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	-0.71% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	7.01 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	14.1 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	0 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	fairly even population distribution throughout the...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	68.7% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	-0.12% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	541,000 VILNIUS (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	541000.0
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.06 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.06 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.06
`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
+86 more extension fields — download the CSV/Parquet to see them all.

LTU OpenFactBook - Religions — 1 rows, 6 columns

Loading data…

Field details — 23 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	LTU
`country_name`	Country name	string	SEL	0%	1	Lithuania
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_ethnicity_primary_label_synth`	Lithuanian	string	CCL	0%	-	Lithuanian

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	Roman Catholic 74.2%, Russian Orthodox 3.7%, Old...
`religions_numeric`	religions_numeric	float	0%	1	74.2
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	europe/lh.json

Pending (15) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	74.2
`composition_religion_russian_orthodox_pct_synth`	Russian Orthodox	numeric	0%	-	3.7
`composition_religion_old_believer_pct_synth`	Old Believer	numeric	0%	-	0.6
`composition_religion_evangelical_lutheran_pct_synth`	Evangelical Lutheran	numeric	0%	-	0.6
`composition_religion_evangelical_reformist_pct_synth`	Evangelical Reformist	numeric	0%	-	0.2
`composition_religion_other_including_sunni_muslim_jewish_greek_catholic_and_karaite_pct_synth`	other (including Sunni Muslim, Jewish, Greek Catholic, and Karaite)	numeric	0%	-	0.9
`composition_religion_none_pct_synth`	none	numeric	0%	-	6.1
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	13.7
`composition_ethnicity_lithuanian_pct_synth`	Lithuanian	numeric	0%	-	84.6
`composition_ethnicity_polish_pct_synth`	Polish	numeric	0%	-	6.5
`composition_ethnicity_russian_pct_synth`	Russian	numeric	0%	-	5.0
`composition_ethnicity_belarusian_pct_synth`	Belarusian	numeric	0%	-	1.0
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	1.1
`composition_ethnicity_unspecified_pct_synth`	unspecified	numeric	0%	-	1.8
`composition_ethnicity_primary_share_pct_synth`	Lithuanian	numeric	0%	-	84.6

LTU OpenFactBook - Transportation — 1 rows, 27 columns

Loading data…

Field details — 29 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	64.0
`country_code`	Country code	string	SEL	0%	1	LTU
`country_name`	Country name	string	SEL	0%	1	Lithuania
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (25) — 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	LY
`airports_text`	airports_text	string	0%	1	64 (2025)
`heliports_text`	heliports_text	string	0%	1	2 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	2.0
`railways_total_text`	railways_total_text	string	0%	1	1,911 km (2020) 152 km electrified
`railways_total_numeric`	railways_total_numeric	float	0%	1	1911.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	59 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	59.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	container ship 3, general cargo 19, oil tanker 2, other 35
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	3.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	2 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	2.0
`ports_large_text`	ports_large_text	float	0%	1	0
`ports_large_numeric`	ports_large_numeric	float	0%	1	0.0
`ports_medium_text`	ports_medium_text	float	0%	1	1
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	1.0
`ports_small_text`	ports_small_text	float	0%	1	0
`ports_small_numeric`	ports_small_numeric	float	0%	1	0.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	1
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	1.0
`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	Butinge Oil Terminal, Klaipeda
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	europe/lh.json

LTU D-PLACE LTU-DPLACE Ethnographic Societies

6 rows · 2 tables · 2024 D-PLACE 0 1 2 3 2 SEL 15 CCL 55 ext ▶

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0 Admin 0 — 2 table(s)

LTU D-PLACE - Dplace Ea Societies — 3 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	LTU, LTU, LTU
`society_id`	Society id	string	CCL	0%	3	ch22, ch23, Ch9
`society_name`	Society name	string	CCL	0%	3	Lithuanian Karaim, Lithuanian Tatar, Lithuanians
`language_glottocode`	Language glottocode	string	CCL	0%	3	kara1464, west2405, lith1251
`language_name`	Language name	string	CCL	0%	1	, ,
`kinship_system`	Kinship system	string	CCL	0%	2	EA017:1; EA018:1; EA019:1; EA020:1; EA021:2; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	3	EA006:7; EA007:8; EA008:2; EA009:2; EA023:NA; EA025:NA,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	3	EA001:0; EA002:0; EA003:0; EA004:1; EA005:8; EA028:4;...
`political_complexity`	Political complexity	string	CCL	0%	2	EA032:2; EA033:5, EA032:2; EA033:5, EA032:3; EA033:4
`religion_importance`	Religion importance	string	CCL	0%	1	EA034:4; EA112:NA, EA034:4; EA112:NA, EA034:4; EA112:NA
`residence_pattern`	Residence pattern	string	CCL	0%	3	EA010:10; EA011:1; EA012:10; EA013:9; EA014:11,...
`settlement_pattern`	settlement_pattern	string	CCL	0%	3	EA030:8; EA031:5, EA030:8; EA031:3, EA030:7; EA031:8

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	Lithuania, Lithuania, Lithuania
`dataset`	dataset	string	0%	1	EA, EA, EA
`region`	region	string	0%	1	, ,
`latitude`	latitude	float	0%	1	55.0, 55.0, 55.0
`longitude`	longitude	float	0%	2	23.0, 24.0, 24.0
`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
`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, https://d-place.org
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024

LTU D-PLACE - Dplace Ea Societies Decoded — 3 rows, 49 columns

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Field details — 49 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	LTU, LTU, LTU
`society_id`	society_id	string	CCL	0%	3	ch22, ch23, Ch9
`society_name`	society_name	string	CCL	0%	3	Lithuanian Karaim, Lithuanian Tatar, Lithuanians
`language_glottocode`	language_glottocode	string	CCL	0%	3	kara1464, west2405, lith1251
`language_name`	language_name	string	CCL	0%	1	, ,

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	Lithuania, Lithuania, Lithuania
`dataset`	dataset	string	0%	1	EA, EA, EA
`region`	region	string	0%	1	, ,
`latitude`	latitude	float	0%	1	55.0, 55.0, 55.0
`longitude`	longitude	float	0%	2	23.0, 24.0, 24.0
`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
`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, https://d-place.org
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	0%	2	2, 2, 3
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	0%	2	5, 5, 4
`religion_high_gods`	religion_high_gods	integer	0%	1	4, 4, 4
`trance_states`	trance_states	string	100%	-	-
`settlement_patterns`	settlement_patterns	integer	0%	2	8, 8, 7
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	0%	3	5, 3, 8
`marital_residence_first_years`	marital_residence_first_years	integer	0%	2	10, 12, 10
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	0%	2	1, 2, 1
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	0%	2	10, 12, 10
`residence_transfer_alternate`	residence_transfer_alternate	integer	0%	3	9, 3, 2
`marital_residence_alternate`	marital_residence_alternate	integer	0%	3	11, 9, 6
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	1	1, 1, 1
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	1	1, 1, 1
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	1	1, 1, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	1	1, 1, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	1	2, 2, 2
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9, 9, 9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	33%	1	3, 3
`descent_major_type`	descent_major_type	integer	0%	1	6, 6, 6
+14 more extension fields — download the CSV/Parquet to see them all.

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

4 rows · 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)

LTU GHS-UCDB - Cities (locality) — 4 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%	4	Vilnius, Kaunas, Klaipėda, Panevėžys
`country_code`	Country code	string	SEL	0%	1	LTU, LTU, LTU, LTU
`population`	Population count	integer	SEL	0%	4	339420, 236910, 103210, 69938

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	4	578, 275, 95, 433
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Lithuania, Lithuania, Lithuania, Lithuania
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

LTU INFORM Risk Index (EC-JRC) LTU-INFORM Risk Index

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

1 rows × 257 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

LTU Inform - Risk Index — 1 rows, 257 columns

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Field details — 257 fields (type, nulls, unique, samples)

Pending (257) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	LTU
`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	0.0857142857142857
`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	62674.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.1
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.159776680328326
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	5.7
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	1.44080829620361
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	2.4
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	0.6
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	0.5
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	0.0
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	2.0
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	1.7
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	2.4
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	2.0
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	0.1
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	0.0
`inform_cc_inf_com`	Communication	float	0%	1	1.1
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	3.1
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	0.0
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	0.0
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	1.1
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	0.1
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	0.0
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	0.0
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	0.4
`inform_institutional_capacity`	Institutional	float	0%	1	3.9
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	4.5
+227 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
Lithuanian (lit)	34,759	98.4%	Latin
Russian (rus)	355	1.0%	Cyrillic +1
English (eng)	69	0.2%	Latin
Latvian (lav)	62	0.2%	—
Belarusian (bel)	47	0.1%	Cyrillic +1
German (deu)	19	0.1%	Latin
+ 3 further languages (15 names, each under 0.05%)

Source	Type	Access
Eurostat	official_nso	api
World Bank Open Data	international_organization	api
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download