Croatia

Croatia Register Census (Eurostat demo_r_pjangrp3) HRV-EUROSTAT-CENSUS Census

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

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0 Admin 0 — 1 table(s)

Croatia 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%	-	HR
`region_name`	region name	string	SEL	0%	-	Croatia
`admin_level`	admin level	string	SEL	0%	-	admin_0
`population_total`	population total	integer	SEL	0%	-	3850894

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	1861866
`population_women`	population women	integer	0%	-	1989028

1 Admin 1 — 1 table(s)

Croatia 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%	-	HR0
`region_name`	region name	string	SEL	0%	-	Hrvatska
`admin_level`	admin level	string	SEL	0%	-	admin_1
`population_total`	population total	integer	SEL	0%	-	3850894

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	1861866
`population_women`	population women	integer	0%	-	1989028

2 Admin 2 — 1 table(s)

Croatia Register Census — NUTS-2 — 5 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%	-	HR02, HR03, HR04, HR05, HR06
`region_name`	region name	string	SEL	0%	-	Panonska Hrvatska, Jadranska Hrvatska, Kontinentalna...
`admin_level`	admin level	string	SEL	0%	-	admin_2, admin_2, admin_2, admin_2, admin_2
`population_total`	population total	integer	SEL	0%	-	999106, 1297987, None, 768624, 785177

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	485801, 631034, None, 361555, 383476
`population_women`	population women	integer	0%	-	513305, 666953, None, 407069, 401701

3 Admin 3 — 1 table(s)

Croatia Register Census — NUTS-3 — 35 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%	-	HR021, HR022, HR023, HR024, HR025
`region_name`	region name	string	SEL	0%	-	Bjelovarsko-bilogorska županija, Virovitičko-podravska...
`admin_level`	admin level	string	SEL	0%	-	admin_3, admin_3, admin_3, admin_3, admin_3
`population_total`	population total	integer	SEL	0%	-	99813, 68808, 62451, 127464, 253824

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	48762, 33357, 30419, 62474, 122421
`population_women`	population women	integer	0%	-	51051, 35451, 32032, 64990, 131403

HRV World Bank Open Data HRV-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)

HRV 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	HR, HR, HR, HR, HR
`population_count`	Population count	float	SEL	2%	65	4140181.0, 4167292.0, 4196712.0, 4225675.0, 4252876.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	65.7464878048781, 66.3461463414634, 67.0652682926829,...
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	47%	35	5369.10978590681, 4000.91677428625, 2321.15204123035,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	97%	2	96.6999969482422, 98.1500015258789
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	35%	38	21.9, 20.9, 20.0, 19.1, 18.0
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	80%	10	20.6, 20.9, 20.4, 19.5, 19.4

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

HRV 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	HR, HR, HR, HR, HR
`life_expectancy`	Life expectancy	float	SEL	3%	64	65.7464878048781, 66.3461463414634, 67.0652682926829,...
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	36%	35	14.0, 13.5, 12.9, 12.1, 11.2
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	35%	38	21.9, 20.9, 20.0, 19.1, 18.0
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	9	10.0, 10.0, 10.0, 10.0, 9.0
`fertility_rate`	Fertility rate	float	SEL	3%	44	2.239, 2.219, 2.192, 2.145, 2.142
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	45	18.4, 17.8, 17.2, 16.5, 16.2
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	36	10.0, 9.1, 10.0, 9.1, 10.1
`physicians_per_1000`	Physicians per 1000	float	SEL	42%	38	1.673, 1.738, 1.808, 1.858, 1.88
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	33%	41	7.23479986190796, 7.30810022354126, 7.42350006103516,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	50%	11	83.0, 85.0, 87.0, 90.0, 91.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	7.65084314, 7.16995239, 6.14300489, 6.29782534, 6.5067997

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

HRV 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	HRV, HRV, HRV, HRV, HRV
`country_name`	country_name	string	0%	1	Croatia, Croatia, Croatia, Croatia, Croatia
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	475438.0, 674085.0, 585298.0, 579273.0, 573248.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	6	9.8, 14.6, 13.5, 13.4, 13.3
`net_migration`	net_migration	float	0%	66	-21768.0, -6567.0, -2176.0, -1289.0, -2090.0
`remittances_received_usd`	remittances_received_usd	float	52%	32	230029007.0, 375509002.7, 544168000.0, 649916898.398,...
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	52%	32	2.04295027308074, 2.49293770190243, 2.38961287447188,...
`remittances_paid_usd`	remittances_paid_usd	float	56%	29	14678982.042, 37422012.699, 35479433.537, 43294100.489,...

HRV UNHCR Refugee Data Finder HRV-UNHCR Migration

68 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)

HRV UNHCR - Hosted Populations — 34 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%	-	-

HRV UNHCR - Origin Populations — 34 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%	-	-

HRV LandScan Global (ORNL) HRV-LANDSCAN Modeled Population

26 rows · 2 tables · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 14 SEL 2 ext ▶

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1 Admin 1 — 1 table(s)

HRV LandScan - Population Admin1 (admin_1) — 21 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	HRV, HRV, HRV, HRV, HRV
`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%	21	City of Zagreb, Split-Dalmatia, Zagreb County,...
`admin_code`	Admin code	string	SEL	0%	21	27960609B76540875123137, 27960609B66558805034122,...
`area_sqkm`	Area sqkm	float	SEL	0%	21	643.1504, 4529.0459, 3050.031, 4035.6642, 3568.9117
`pop_2024`	Population count	integer	SEL	0%	21	818498, 430960, 321500, 276442, 272412
`pop_density_2024`	Population density	float	SEL	0%	21	1272.64, 95.15, 105.41, 68.5, 76.33

Locality Locality — 1 table(s)

HRV LandScan - Cities (locality) — 5 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	HRV, HRV, HRV, HRV, HRV
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	5	Zagreb, Split, Rijeka, Osijek, Zadar
`admin_code`	Admin code	integer	SEL	0%	5	419, 567, 83, 710, 261
`area_sqkm`	Area sqkm	float	SEL	0%	5	151.0268, 72.9736, 41.0029, 18.0021, 23.9948
`pop_2024`	Population count	integer	SEL	0%	5	669455, 218042, 117554, 59398, 56062
`pop_density_2024`	Population density	float	SEL	0%	5	4432.69, 2987.96, 2866.97, 3299.5, 2336.42

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%	5	643962, 215968, 115636, 69144, 68048
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	5	1.04, 1.01, 1.017, 0.859, 0.824

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

20 rows · 2 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 22 ext ▶

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0 Admin 0 — 2 table(s)

HRV NGA GNS - Language — 19 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	HRV, HRV, HRV, HRV, HRV
`gns_language_code`	gns_language_code	string	CCL	0%	19	hrv, eng, srp, ita, hun
`gns_language_name`	gns_language_name	string	CCL	0%	19	Croatian, English, Serbian, Italian, Hungarian
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	12	1157, 105, 97, 54, 13
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	12	78.7611, 7.1477, 6.6031, 3.676, 0.885
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	4	0, 0, 46, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	3	Latn, Latn, Latn, Latn, Latn
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	3	Latin, Latin, Latin, Latin, Latin
`gns_script_count`	gns_script_count	integer	CCL	0%	3	1, 1, 2, 1, 1

HRV NGA GNS - Summary — 1 rows, 29 columns

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Field details — 29 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	HRV
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Croatia
`gns_language_count`	gns_language_count	integer	CCL	0%	1	19
`gns_script_count`	gns_script_count	integer	CCL	0%	1	3
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.8825
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	54

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	30639
`gns_feature_count`	gns_feature_count	integer	0%	1	22279
`gns_endonym_count`	gns_endonym_count	integer	0%	1	30603
`gns_exonym_count`	gns_exonym_count	integer	0%	1	36
`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_populated_places`	gns_name_count_populated_places	integer	0%	1	13056
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	9525
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	2812
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	2541
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	8082
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	5971
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	3805
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	2504
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	71
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	68
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	1419
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	666
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	1391
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	1001
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	3
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	3

HRV Glottolog Language Catalog HRV-GLOTTOLOG Language

14 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)

HRV Glottolog - Languages — 14 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%	14	balk1252, carp1235, croa1242, dalm1243, hung1274
`name`	Name	string	CCL	0%	14	Balkan Romani, Central Romani, Croatian Sign Language,...
`iso639_3`	Iso639 3	string	CCL	0%	14	rmn, rmc, csq, dlm, hun
`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%	3	indo1319, indo1319, sign1238, indo1319, ural1272
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	9	roma1329, roma1329, yugo1239, dalm1244, hung1287
`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%	10	19, 14, 0, 0, 10

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	14	42.67, 48.1968, 45.502, 42.7095, 46.9068585714
`longitude`	longitude	float	0%	14	21.17, 20.3129, 16.796, 18.0238, 19.6555271429
`country_codes`	Country codes	string	0%	10	['AL', 'AT', 'BA', 'BG', 'BY', 'CH', 'CZ', 'DE', 'FI',...
`classification`	classification	string	0%	1	[], [], [], [], []

HRV OpenFactBook HRV-OPENFACTBOOK Country Profile

14 rows · 14 tables · 2024 OpenFactBook 0 1 2 3 90 SEL 3 CCL 580 ext ▶

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0 Admin 0 — 14 table(s)

HRV 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	29.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	122.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	83.0
`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	HRV
`country_name`	Country name	string	SEL	0%	1	Croatia
`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	1.1 million (2024 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	1.1
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	29 (2024 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	4.72 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	4.72
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	122 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	the national state-owned public broadcaster, Croatian...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	4.0
`internet_country_code_text`	Internet country code text	string	0%	1	.hr
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	83% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	1.11 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	1.11
`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/hr.json

HRV OpenFactBook - Economy — 1 rows, 151 columns

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Field details — 157 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	42600.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	92.526
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	18.0
`country_code`	Country code	string	SEL	0%	1	HRV
`country_name`	Country name	string	SEL	0%	1	Croatia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (151) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	upper-middle-income Balkan economy; newest euro user...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	2023.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$164.825 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	164.825
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$158.769 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	158.769
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$153.693 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	153.693
`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	3.8% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	3.8
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	3.3% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	3.3
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	7.3% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	7.3
`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	$42,600 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$41,100 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	41100.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$39,900 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	39900.0
`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	$92.526 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	3% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	3.0
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	7.9% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	7.9
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	10.8% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	10.8
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+121 more extension fields — download the CSV/Parquet to see them all.

HRV OpenFactBook - Energy — 1 rows, 53 columns

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Field details — 53 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	HRV
`country_name`	Country name	string	SEL	0%	1	Croatia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (49) — 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	5.518 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	5.518
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	16.408 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	16.408
`electricity_exports_text`	electricity_exports_text	string	0%	1	8.461 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	8.461
`electricity_imports_text`	electricity_imports_text	string	0%	1	10.038 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	10.038
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	2.053 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	2.053
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	31.2% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	31.2
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	1.7% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	1.7
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	14.8% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	14.8
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	48.5% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	48.5
`electricity_generation_sources_geothermal_text`	electricity_generation_sources_geothermal_text	string	0%	1	0.1% of total installed capacity (2023 est.)
`electricity_generation_sources_geothermal_numeric`	electricity_generation_sources_geothermal_numeric	float	0%	1	0.1
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	3.7% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	3.7
`coal_consumption_text`	coal_consumption_text	string	0%	1	596,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	596000.0
`coal_exports_text`	coal_exports_text	string	0%	1	1,000 metric tons (2022 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	1000.0
`coal_imports_text`	coal_imports_text	string	0%	1	663,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	663000.0
`petroleum_total_petroleum_production_text`	petroleum_total_petroleum_production_text	string	0%	1	11,000 bbl/day (2023 est.)
+19 more extension fields — download the CSV/Parquet to see them all.

HRV OpenFactBook - Environment — 1 rows, 46 columns

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Field details — 52 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	26.6
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	34.7
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	58.6
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.05
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	1.81
`country_code`	Country code	string	SEL	0%	1	HRV
`country_name`	Country name	string	SEL	0%	1	Croatia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (44) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	air pollution in urban areas, as well as emissions from...
`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	94.0
`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	Mediterranean and continental; continental climate...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	26.6% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 15.5% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	15.5
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1.4% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.4
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 9.6% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	9.6
`land_use_forest_text`	land_use_forest_text	string	0%	1	34.7% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	38.2% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	38.2
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	58.6% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.05% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	16.467 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	16.467
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	1.335 million 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	1.335
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	9.858 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	9.858
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	5.275 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	5.275
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	15.2 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	15.2
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	1.81 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	20% (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	20.0
+14 more extension fields — download the CSV/Parquet to see them all.

HRV OpenFactBook - Ethnic Groups — 1 rows, 9 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
`country_code`	Country code	string	SEL	0%	1	HRV
`country_name`	Country name	string	SEL	0%	1	Croatia
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	Croat(s), Croatian(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Croatian
`nationality_note`	nationality_note	string	0%	1	note: the French designation of "Croate" to Croatian...
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Croat 91.6%, Serb 3.2%, other 3.9% (including Bosniak,...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	91.6
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	europe/hr.json

HRV OpenFactBook - Geography — 1 rows, 52 columns

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Field details — 57 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	56594.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	55974.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	620.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	2237.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	5835.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	1831.0
`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	26.6
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	34.7
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	170.0
`country_code`	Country code	string	SEL	0%	1	HRV
`country_name`	Country name	string	SEL	0%	1	Croatia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (44) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southeastern Europe, bordering the Adriatic Sea, between...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	45 10 N, 15 30 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	45.0
`map_references_text`	map_references_text	string	0%	1	Europe
`area_total_text`	area_total_text	string	0%	1	56,594 sq km
`area_land_text`	area_land_text	string	0%	1	55,974 sq km
`area_water_text`	area_water_text	string	0%	1	620 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly smaller than West Virginia
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	2,237 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Bosnia and Herzegovina 956 km; Hungary 348 km;...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	956.0
`coastline_text`	coastline_text	string	0%	1	5,835 km (mainland 1,777 km; islands 4,058 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_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1	200-m depth or to the depth of exploitation
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	Mediterranean and continental; continental climate...
`terrain_text`	terrain_text	string	0%	1	geographically diverse; flat plains along Hungarian...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Dinara 1,831 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Adriatic Sea 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	331 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	331.0
`natural_resources_text`	natural_resources_text	string	0%	1	oil, some coal, bauxite, low-grade iron ore, calcium,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	26.6% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 15.5% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	15.5
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1.4% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.4
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 9.6% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	9.6
+14 more extension fields — download the CSV/Parquet to see them all.

HRV OpenFactBook - Government — 1 rows, 82 columns

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Field details — 113 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	HRV
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (111) — 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 Croatia
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Croatia
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Republika Hrvatska
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Hrvatska
`country_name_former_text`	country_name_former_text	string	0%	1	People's Republic of Croatia, Socialist Republic of Croatia
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	name probably derives from the Croats, a Slavic tribe...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	7.0
`government_type_text`	government_type_text	string	0%	1	parliamentary republic
`capital_name_text`	capital_name_text	string	0%	1	Zagreb
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	45 48 N, 16 00 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	45.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+1 (6 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	1.0
`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	the city's name means "beyond the bank (or ditch)"; za...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	20 counties (zupanije, singular - zupanija) and 1 city*...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	20.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system influenced by legal heritage of Austria-Hungary
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest adopted 22 December 1990
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	22.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by at least one fifth of the Assembly...
`constitution_amendment_process_numeric`	constitution_amendment_process_numeric	float	0%	1	10.0
`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	at least one parent must be a citizen of Croatia
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	yes
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	5 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	5.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal
+81 more extension fields — download the CSV/Parquet to see them all.

HRV 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	HRV
`country_name`	Country name	string	SEL	0%	1	Croatia
`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	The lands that today comprise Croatia were part of the...
`background_numeric`	background_numeric	float	0%	1	1918.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	europe/hr.json

HRV OpenFactBook - Languages — 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	HRV
`country_name`	Country name	string	SEL	0%	1	Croatia
`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	Croatian (official) 95.2%, Serbian 1.2%, other 3.1%...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	95.2
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	Knjiga svjetskih činjenica, nužan izvor osnovnih...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	europe/hr.json

HRV OpenFactBook - Migration — 1 rows, 9 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	HRV
`country_name`	Country name	string	SEL	0%	1	Croatia
`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	29,927 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	29927.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	758 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	758.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	europe/hr.json

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

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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	HRV
`country_name`	Country name	string	SEL	0%	1	Croatia
`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	Armed Forces of the Republic of Croatia (Oruzane Snage...
`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	2% of GDP (2025 est.)
`military_expenditures_military_expenditures_2025_numeric`	Military expenditures 2025 (numeric)	float	0%	1	2.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	1.9% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	1.9
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	1.7% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	1.7
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	1.8% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	1.8
`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 15,000 active-duty military personnel (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	15000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory is a mix of Soviet-era (largely...
`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	18-29 years of age for voluntary military service for...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_deployments_text`	military_deployments_text	string	0%	1	150 Kosovo (KFOR/NATO); also has a few hundred personnel...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	150.0
`military_note_text`	military_note_text	string	0%	1	the Armed Forces of Croatia (OSRH) are responsible for...
`military_note_numeric`	military_note_numeric	float	0%	1	2009.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	europe/hr.json

HRV OpenFactBook - People And Society — 1 rows, 106 columns

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Field details — 118 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	4071208.0
`population_male_numeric`	Population male	float	SEL	0%	1	1968334.0
`population_female_numeric`	Population female	float	SEL	0%	1	2102874.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	13.8
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	63.1
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	23.1
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	55.9
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	21.5
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	34.4
`median_age_total_numeric`	Median age	float	SEL	0%	1	44.9
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	-0.53
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	8.49
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	12.87
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-0.87
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	58.6
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.05
`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	0.93
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	3.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	3.4
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	77.7
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.43
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.69
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	3.91
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	5.6
`country_code`	Country code	string	SEL	0%	1	HRV
`country_name`	Country name	string	SEL	0%	1	Croatia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (90) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	4,071,208 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	1,968,334
`population_female_text`	population_female_text	string	0%	1	2,102,874
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	13.8% (male 296,527/female 278,236)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	63.1% (male 1,307,814/female 1,309,394)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	23.1% (2024 est.) (male 399,090/female 559,055)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	55.9 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	21.5 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	34.4 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	2.9 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	2.9
`median_age_total_text`	median_age_total_text	string	0%	1	44.9 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	43.2 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	43.2
`median_age_female_text`	median_age_female_text	string	0%	1	47 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	47.0
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	-0.53% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	8.49 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	12.87 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-0.87 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	more of the population lives in the northern half of the...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	58.6% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.05% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	684,000 ZAGREB (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	684000.0
`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	1.07 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.07
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.0
+60 more extension fields — download the CSV/Parquet to see them all.

HRV OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 22 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	HRV
`country_name`	Country name	string	SEL	0%	1	Croatia
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	1.3
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	1.1
`composition_ethnicity_primary_label_synth`	Croat	string	CCL	0%	-	Croat

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 79%, Orthodox 3.3%, Protestant 0.3%,...
`religions_numeric`	religions_numeric	float	0%	1	79.0
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	europe/hr.json

Pending (12) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	79.0
`composition_religion_orthodox_pct_synth`	Orthodox	numeric	0%	-	3.3
`composition_religion_protestant_pct_synth`	Protestant	numeric	0%	-	0.3
`composition_religion_other_christian_pct_synth`	other Christian	numeric	0%	-	4.8
`composition_religion_agnostic_pct_synth`	agnostic	numeric	0%	-	1.7
`composition_religion_none_or_atheist_pct_synth`	none or atheist	numeric	0%	-	4.7
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	3.9
`composition_ethnicity_croat_pct_synth`	Croat	numeric	0%	-	91.6
`composition_ethnicity_serb_pct_synth`	Serb	numeric	0%	-	3.2
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	3.9
`composition_ethnicity_unspecified_pct_synth`	unspecified	numeric	0%	-	1.3
`composition_ethnicity_primary_share_pct_synth`	Croat	numeric	0%	-	91.6

HRV OpenFactBook - Transportation — 1 rows, 28 columns

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Field details — 30 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	45.0
`country_code`	Country code	string	SEL	0%	1	HRV
`country_name`	Country name	string	SEL	0%	1	Croatia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (26) — 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	9A
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	9.0
`airports_text`	airports_text	string	0%	1	45 (2025)
`heliports_text`	heliports_text	string	0%	1	7 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	7.0
`railways_total_text`	railways_total_text	string	0%	1	2,617 km (2020) 980 km electrified
`railways_total_numeric`	railways_total_numeric	float	0%	1	2617.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	384 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	384.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 10, general cargo 32, oil tanker 14, other 328
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	10.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	16 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	16.0
`ports_large_text`	ports_large_text	float	0%	1	2
`ports_large_numeric`	ports_large_numeric	float	0%	1	2.0
`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	6
`ports_small_numeric`	ports_small_numeric	float	0%	1	6.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	8
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	8.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	8
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	8.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Bakar, Dubrovnik, Omisalj, Rijeka Luka, Rovinj, Sibenik,...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	europe/hr.json

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

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

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

Locality Locality — 1 table(s)

HRV GHS-UCDB - Cities (locality) — 5 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%	5	Zagreb, Split, Rijeka, Osijek, Zadar
`country_code`	Country code	string	SEL	0%	1	HRV, HRV, HRV, HRV, HRV
`population`	Population count	integer	SEL	0%	5	643962, 215968, 115636, 69144, 68048

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	5	419, 567, 83, 710, 261
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Croatia, Croatia, Croatia, Croatia, Croatia
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

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

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

1 rows × 250 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

HRV Inform - Risk Index — 1 rows, 250 columns

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Field details — 250 fields (type, nulls, unique, samples)

Pending (250) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	HRV
`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	0.0285714285714286
`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	55960.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.175
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.0697814845261551
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	4.5
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	7.21065807342529
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	2.8
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	0.7
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	0.4
`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	1.5
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	1.2
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	1.7
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	1.7
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	0.0
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	0.2
`inform_cc_inf_com`	Communication	float	0%	1	1.4
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	4.0
`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	0.1
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	1.6
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	0.2
`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	0.5
`inform_institutional_capacity`	Institutional	float	0%	1	4.5
`inform_cc_ins_gov`	Governance	float	0%	1	4.5
+220 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

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Language	Place names	Share*	Script
Croatian (hrv)	1,157	78.8%	Latin
English (eng)	105	7.1%	Latin
Serbian (srp)	97	6.6%	Latin +1
Italian (ita)	54	3.7%	Latin
Hungarian (hun)	13	0.9%	Latin
German (deu)	8	0.5%	—
Czech (ces)	7	0.5%	Latin
Slovenian (slv)	5	0.3%	Latin
+ 11 further languages (23 names, each under 0.05%)

Source	Type	Access
Eurostat	official_nso	api
World Bank Open Data	international_organization	api
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