Italy

Italy Register Census (Eurostat demo_r_pjangrp3) ITA-EUROSTAT-CENSUS Census

142 rows · 4 table(s) 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)

Italy 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%	-	IT
`region_name`	region name	string	SEL	0%	-	Italy
`admin_level`	admin level	string	SEL	0%	-	admin_0
`population_total`	population total	integer	SEL	0%	-	58997201

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	28814832
`population_women`	population women	integer	0%	-	30182369

1 Admin 1 — 1 table(s)

Italy Register Census — NUTS-1 — 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%	-	ITC, ITF, ITG, ITH, ITI
`region_name`	region name	string	SEL	0%	-	Nord-Ovest, Sud, Isole, Nord-Est, Centro (IT)
`admin_level`	admin level	string	SEL	0%	-	admin_1, admin_1, admin_1, admin_1, admin_1
`population_total`	population total	integer	SEL	0%	-	15858626, 13464669, 6392162, 11558522, 11723222

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	7759911, 6579017, 3119642, 5669091, 5687171
`population_women`	population women	integer	0%	-	8098715, 6885652, 3272520, 5889431, 6036051

2 Admin 2 — 1 table(s)

Italy Register Census — NUTS-2 — 21 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%	-	ITC1, ITC2, ITC3, ITC4, ITF1
`region_name`	region name	string	SEL	0%	-	Piemonte, Valle d’Aosta/Vallée d’Aoste, Liguria,...
`admin_level`	admin level	string	SEL	0%	-	admin_2, admin_2, admin_2, admin_2, admin_2
`population_total`	population total	integer	SEL	0%	-	4251351, 123130, 1507636, 9976509, 1272627

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	2072771, 60353, 726267, 4900520, 622679
`population_women`	population women	integer	0%	-	2178580, 62777, 781369, 5075989, 649948

3 Admin 3 — 1 table(s)

Italy Register Census — NUTS-3 — 115 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%	-	ITC11, ITC12, ITC13, ITC14, ITC15
`region_name`	region name	string	SEL	0%	-	Torino, Vercelli, Biella, Verbano-Cusio-Ossola, Novara
`admin_level`	admin level	string	SEL	0%	-	admin_3, admin_3, admin_3, admin_3, admin_3
`population_total`	population total	integer	SEL	0%	-	2204632, 165892, 169106, 154038, 362502

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	1069885, 81022, 81705, 74918, 176980
`population_women`	population women	integer	0%	-	1134747, 84870, 87401, 79120, 185522

ITA Istituto Nazionale di Statistica (ISTAT) ITA-ISTAT_CENSUS Census

129 rows · 3 table(s) Istituto Nazionale di Statistica (ISTAT) 0 1 2 3 9 SEL 6 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)

ITA Istat Census - Ita Population (admin_0) — 1 rows, 5 columns

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Field details — 5 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	string	SEL	0%	1	ITA
`admin_name`	Admin name	string	SEL	0%	1	Italy
`population_count`	Population count	integer	SEL	0%	1	59030133

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

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_0
`year`	year	integer	0%	1	2022

1 Admin 1 — 1 table(s)

ITA Istat Census - Ita Population (admin_1) — 21 rows, 5 columns

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Field details — 5 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	string	SEL	0%	21	ITC1, ITC2, ITC3, ITC4, ITD1
`admin_name`	Admin name	string	SEL	0%	21	Piemonte, Valle d'Aosta / Vallée d'Aoste, Liguria,...
`population_count`	Population count	integer	SEL	0%	21	4256350, 123360, 1509227, 9943004, 532616

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

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	year	integer	0%	1	2022, 2022, 2022, 2022, 2022

2 Admin 2 — 1 table(s)

ITA Istat Census - Ita Population (admin_2) — 107 rows, 5 columns

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Field details — 5 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	string	SEL	0%	100	IT108, IT109, IT110, IT111, ITC11
`admin_name`	Admin name	string	SEL	0%	100	Monza e della Brianza, Fermo, Barletta-Andria-Trani, Sud...
`population_count`	Population count	integer	SEL	0%	100	870407, 168294, 380616, 337178, 2208370

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

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	year	integer	0%	1	2022, 2022, 2022, 2022, 2022

ITA Global Data Lab ITA-GDL Development Indices

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

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1 Admin 1 — 1 table(s)

ITA GDL - Subnational Indices — 748 rows, 11 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	ITA, ITA, ITA, ITA, ITA
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	22	Italy, Abruzzo, Basilicata, Calabria, Campania
`human_development_index`	Human development index	float	SEL	0%	65	0.833, 0.839, 0.809, 0.804, 0.802
`health_index`	Health index	float	SEL	0%	38	0.877, 0.896, 0.889, 0.887, 0.862
`education_index`	Education index	float	SEL	0%	70	0.72, 0.737, 0.685, 0.705, 0.703
`income_index`	Income index	float	SEL	0%	64	0.915, 0.894, 0.869, 0.832, 0.85
`life_expectancy`	Life expectancy	float	SEL	0%	64	76.99, 78.25, 77.75, 77.65, 76.05
`mean_years_schooling`	Mean years schooling	float	SEL	0%	78	10.8, 10.79, 10.54, 10.82, 10.62

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	5	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	1	subnational, subnational, subnational, subnational, subnational

ITA UNHCR Refugee Data Finder ITA-UNHCR Migration

150 rows · 2 table(s) UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

ITA UNHCR - Hosted Populations — 75 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%	-	-

ITA UNHCR - Origin Populations — 75 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%	-	-

ITA World Bank Open Data ITA-WORLD_BANK Development Indicators

132 rows · 2 table(s) World Bank Open Data 0 1 2 3 18 SEL 4 ext ▶

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

0 Admin 0 — 2 table(s)

ITA World Bank - Development Indicators — 66 rows, 8 columns

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Field details — 8 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	IT, IT, IT, IT, IT
`life_expectancy`	Life expectancy	float	SEL	3%	64	69.1239024390244, 69.760243902439, 69.149756097561,...
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	836.905850281885, 923.08778375214, 1030.15800343763,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	94%	4	96.4599990844727, 98.4199981689453, 98.8499984741211,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	62	51.9, 49.8, 47.6, 45.3, 43.1
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	71%	13	18.9, 19.2, 19.3, 19.5, 18.9

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Italy, Italy, Italy, Italy, Italy
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

ITA 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	IT, IT, IT, IT, IT
`life_expectancy`	Life expectancy	float	SEL	3%	64	69.1239024390244, 69.760243902439, 69.149756097561,...
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	3%	56	24.7, 23.6, 22.9, 22.7, 22.9
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	62	51.9, 49.8, 47.6, 45.3, 43.1
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	16	22.0, 22.0, 21.0, 20.0, 19.0
`fertility_rate`	Fertility rate	float	SEL	3%	44	2.4, 2.44, 2.46, 2.51, 2.66
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	46	18.1, 18.4, 18.4, 18.7, 19.7
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	17	9.6, 9.3, 10.0, 10.1, 9.5
`physicians_per_1000`	Physicians per 1000	float	SEL	50%	32	5.494, 5.598, 5.678, 5.724, 5.784
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	5%	56	8.89999961853027, 9.0, 9.19999980926514, 9.30000019073486, 9.5
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	47%	7	83.0, 95.0, 95.0, 95.0, 95.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	62%	25	7.54701233, 7.71115828, 7.83638906, 7.80670929, 8.13726902

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

ITA Istituto Nazionale di Statistica (ISTAT) ITA-ISTAT_FOREIGN Migration

129 rows · 3 table(s) Istituto Nazionale di Statistica (ISTAT) 0 1 2 3 6 SEL 3 CCL 6 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)

ITA Istat Foreign - Ita Foreign (admin_0) — 1 rows, 5 columns

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Field details — 5 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	string	SEL	0%	1	ITA
`admin_name`	Admin name	string	SEL	0%	1	Italy
`foreign_citizens_count`	Foreign citizens count	integer	CCL	0%	1	5030716

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

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_0
`year`	year	integer	0%	1	2022

1 Admin 1 — 1 table(s)

ITA Istat Foreign - Ita Foreign (admin_1) — 21 rows, 5 columns

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Field details — 5 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	string	SEL	0%	21	ITC1, ITC2, ITC3, ITC4, ITD1
`admin_name`	Admin name	string	SEL	0%	21	Piemonte, Valle d'Aosta / Vallée d'Aoste, Liguria,...
`foreign_citizens_count`	Foreign citizens count	integer	CCL	0%	21	411095, 8090, 145465, 1155393, 51593

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

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	year	integer	0%	1	2022, 2022, 2022, 2022, 2022

2 Admin 2 — 1 table(s)

ITA Istat Foreign - Ita Foreign (admin_2) — 107 rows, 5 columns

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Field details — 5 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	string	SEL	0%	100	IT108, IT109, IT110, IT111, ITC11
`admin_name`	Admin name	string	SEL	0%	100	Monza e della Brianza, Fermo, Barletta-Andria-Trani, Sud...
`foreign_citizens_count`	Foreign citizens count	integer	CCL	0%	100	78270, 16501, 10365, 5384, 208871

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

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	year	integer	0%	1	2022, 2022, 2022, 2022, 2022

ITA LandScan Global (ORNL) ITA-LANDSCAN Modeled Population

94 rows · 3 table(s) LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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

0 Admin 0 — 1 table(s)

ITA 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	ITA
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Nord-Ovest
`admin_code`	Admin code	string	SEL	0%	1	42024856B85240378613663
`area_sqkm`	Area sqkm	float	SEL	0%	1	301438.9925
`pop_2024`	Population count	integer	SEL	0%	1	60450959
`pop_density_2024`	Population density	float	SEL	0%	1	200.54

1 Admin 1 — 1 table(s)

ITA LandScan - Population Admin1 (admin_1) — 5 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	ITA, ITA, ITA, ITA, ITA
`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%	5	Nord-Ovest, Sud, Centro, Nord-Est, Isole
`admin_code`	Admin code	string	SEL	0%	5	72843720B99597932318450, 72843720B88210905209841,...
`area_sqkm`	Area sqkm	float	SEL	0%	5	57964.2712, 73280.6988, 57979.1544, 62366.2737, 49848.9361
`pop_2024`	Population count	integer	SEL	0%	5	16266623, 13852017, 12031273, 11777139, 6525321
`pop_density_2024`	Population density	float	SEL	0%	5	280.63, 189.03, 207.51, 188.84, 130.9

Locality Locality — 1 table(s)

ITA LandScan - Cities (locality) — 88 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	ITA, ITA, ITA, ITA, ITA
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	88	Milan, Naples, Rome, Turin, Florence
`admin_code`	Admin code	integer	SEL	0%	88	1498, 4490, 3938, 70, 3005
`area_sqkm`	Area sqkm	float	SEL	0%	88	785.0915, 617.3962, 466.6549, 212.0011, 195.9436
`pop_2024`	Population count	integer	SEL	0%	88	3275710, 2948194, 2556354, 1204133, 706145
`pop_density_2024`	Population density	float	SEL	0%	88	4172.39, 4775.21, 5478.04, 5679.84, 3603.82

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%	87	3135553, 2885079, 2476089, 1243448, 711105
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	85	1.045, 1.022, 1.032, 0.968, 0.993

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

88 rows · 1 table(s) 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)

ITA GHS-UCDB - Cities (locality) — 88 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%	88	Milan, Naples, Rome, Turin, Florence
`country_code`	Country code	string	SEL	0%	1	ITA, ITA, ITA, ITA, ITA
`population`	Population count	integer	SEL	0%	87	3135553, 2885079, 2476089, 1243448, 711105

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	88	1498, 4490, 3938, 70, 3005
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Italy, Italy, Italy, Italy, Italy
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

ITA Glottolog Language Catalog ITA-GLOTTOLOG Language

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

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0 Admin 0 — 1 table(s)

ITA Glottolog - Languages — 56 rows, 16 columns

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

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	56	anci1248, arbe1236, balk1252, bava1246, camp1261
`name`	Name	string	CCL	0%	56	Ancient Ligurian, Arbëreshë Albanian, Balkan Romani,...
`iso639_3`	Iso639 3	string	CCL	4%	54	xlg, aae, rmn, bar, sro
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	2%	4	uncl1493, indo1319, indo1319, indo1319, indo1319
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	2%	33	uncl1493, sout3378, roma1329, baye1239, sard1257
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	25	['IT'], ['IT'], ['AL', 'AT', 'BA', 'BG', 'BY', 'CH',...
`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%	16	0, 4, 19, 12, 8

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	5%	53	38.911, 42.67, 47.9232, 39.0566, 48.1968
`longitude`	longitude	float	5%	53	16.7164, 21.17, 13.246, 9.03935, 20.3129
`classification`	classification	string	0%	1	[], [], [], [], []

ITA Google Community Mobility (2020-2022) ITA-GOOGLE-MOBILITY Mobility

20 rows · 1 table(s) Google 0 1 2 3 3 SEL 8 ext ▶

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1 Admin 1 — 1 table(s)

ITA Mobility by Region — 20 rows, 11 columns

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Field details — 11 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	IT, IT, IT, IT, IT
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	ITA, ITA, ITA, ITA, ITA

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	20	-12.62, -26.03, -9.49, -8.78, -2.91
`grocery`	grocery	float	0%	19	8.53, 7.02, 11.18, 13.1, 21.08
`parks`	parks	float	0%	20	69.0, 37.96, 60.18, 62.04, 61.19
`transit`	transit	float	0%	20	-2.79, -25.46, -2.33, -9.61, 4.46
`workplaces`	workplaces	float	0%	20	-20.34, -26.17, -19.78, -19.86, -21.44
`residential`	residential	float	0%	19	5.57, 5.62, 4.6, 5.48, 5.64
`region`	region	string	0%	20	Abruzzo, Aosta, Apulia, Basilicata, Calabria
`observation_count`	observation_count	integer	0%	11	4870, 974, 6818, 2922, 5844

ITA OpenFactBook ITA-OPENFACTBOOK Country Profile

16 rows · 16 table(s) OpenFactBook 0 1 2 3 99 SEL 3 CCL 635 ext ▶

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0 Admin 0 — 16 table(s)

ITA OpenFactBook - Communications — 1 rows, 22 columns

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

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	34.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	133.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.it
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	87.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	34.0
`country_code`	Country code	string	SEL	0%	1	ITA
`country_name`	Country name	string	SEL	0%	1	Italy
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (14) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	20.107 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	20.107
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	34 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	78.7 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	78.7
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	133 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	two Italian media giants dominate, with 3 national...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	3.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	87% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	20.1 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	20.1
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	34 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	europe/it.json

ITA OpenFactBook - Economy — 1 rows, 155 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	53100.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	2.373
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	20.1
`country_code`	Country code	string	SEL	0%	1	ITA
`country_name`	Country name	string	SEL	0%	1	Italy
`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, core EU economy; strong services,...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$3.133 trillion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	3.133
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$3.11 trillion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	3.11
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$3.088 trillion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	3.088
`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	0.7% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	0.7
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	0.7% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	0.7
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	4.8% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	4.8
`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	$53,100 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$52,700 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	52700.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$52,300 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	52300.0
`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	$2.373 trillion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	1% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	1.0
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	5.6% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	5.6
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	8.2% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	8.2
`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% (2024 est.)
+119 more extension fields — download the CSV/Parquet to see them all.

ITA OpenFactBook - Energy — 1 rows, 59 columns

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Field details — 59 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	ITA
`country_name`	Country name	string	SEL	0%	1	Italy
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (55) — 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	128.692 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	128.692
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	290.664 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	290.664
`electricity_exports_text`	electricity_exports_text	string	0%	1	3.32 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	3.32
`electricity_imports_text`	electricity_imports_text	string	0%	1	54.572 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	54.572
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	17.62 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	17.62
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	56% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	56.0
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	12% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	12.0
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	9.1% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	9.1
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	14.7% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	14.7
`electricity_generation_sources_geothermal_text`	electricity_generation_sources_geothermal_text	string	0%	1	2.1% of total installed capacity (2023 est.)
`electricity_generation_sources_geothermal_numeric`	electricity_generation_sources_geothermal_numeric	float	0%	1	2.1
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	6.2% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	6.2
`nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_text`	nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_text	string	0%	1	4 (2025)
`nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_numeric`	nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_numeric	float	0%	1	4.0
`coal_production_text`	coal_production_text	string	0%	1	1.572 million metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	1.572
`coal_consumption_text`	coal_consumption_text	string	0%	1	12.424 million metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	12.424
`coal_exports_text`	coal_exports_text	string	0%	1	304,000 metric tons (2023 est.)
+25 more extension fields — download the CSV/Parquet to see them all.

ITA OpenFactBook - Environment — 1 rows, 60 columns

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Field details — 60 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	44.3
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	31.8
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	72.0
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.27
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	30.088
`country_code`	Country code	string	SEL	0%	1	ITA
`country_name`	Country name	string	SEL	0%	1	Italy
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (52) — 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 from industrial emissions; water pollution...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Air Pollution, Air Pollution-Nitrogen Oxides, 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	Air Pollution-Heavy Metals, Air Pollution-Multi-effect Protocol
`climate_text`	climate_text	string	0%	1	predominantly Mediterranean; alpine in far north; hot,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	44.3% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 24% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	24.0
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 8.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	8.1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 12.2% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	12.2
`land_use_forest_text`	land_use_forest_text	string	0%	1	31.8% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	24% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	24.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	72% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.27% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	307.442 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	307.442
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	26.15 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	26.15
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	162.688 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	162.688
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	118.604 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	118.604
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	12.3 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	12.3
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	276.4 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	276.4
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	764.9 kt (2019-2021 est.)
+22 more extension fields — download the CSV/Parquet to see them all.

ITA OpenFactBook - Ethnic Groups — 1 rows, 8 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	ITA
`country_name`	Country name	string	SEL	0%	1	Italy
`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
`nationality_noun_text`	nationality_noun_text	string	0%	1	Italian(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Italian
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Italian (includes small clusters of German-, French-,...
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	europe/it.json

ITA OpenFactBook - Geography — 1 rows, 56 columns

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Field details — 56 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	301340.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	294140.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	7200.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	1836.4
`coastline_numeric`	Coastline km	float	SEL	0%	1	7600.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	4748.0
`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	44.3
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	31.8
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	24460.0
`country_code`	Country code	string	SEL	0%	1	ITA
`country_name`	Country name	string	SEL	0%	1	Italy
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southern Europe, a peninsula extending into the central...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	42 50 N, 12 50 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	42.0
`map_references_text`	map_references_text	string	0%	1	Europe
`area_total_text`	area_total_text	string	0%	1	301,340 sq km
`area_land_text`	area_land_text	string	0%	1	294,140 sq km
`area_water_text`	area_water_text	string	0%	1	7,200 sq km
`area_note`	area_note	string	0%	1	note: includes Sardinia and Sicily
`area_comparative_text`	area_comparative_text	string	0%	1	almost twice the size of Georgia; slightly larger than Arizona
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	1,836.4 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Austria 404 km; France 476 km; Holy See (Vatican City)...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	404.0
`coastline_text`	coastline_text	string	0%	1	7,600 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	predominantly Mediterranean; alpine in far north; hot,...
`terrain_text`	terrain_text	string	0%	1	mostly rugged and mountainous; some plains, coastal lowlands
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Mont Blanc (Monte Bianco) de Courmayeur (a secondary...
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Mediterranean Sea 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	538 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	538.0
`natural_resources_text`	natural_resources_text	string	0%	1	coal, antimony, mercury, zinc, potash, marble, barite,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	44.3% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 24% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	24.0
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 8.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	8.1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 12.2% (2023 est.)
+13 more extension fields — download the CSV/Parquet to see them all.

ITA OpenFactBook - Government — 1 rows, 130 columns

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Field details — 130 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	ITA
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (128) — 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	Italian Republic
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Italy
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Repubblica Italiana
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Italia
`country_name_former_text`	country_name_former_text	string	0%	1	Kingdom of Italy
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	derivation is unclear; traditionally said to come from...
`government_type_text`	government_type_text	string	0%	1	parliamentary republic
`capital_name_text`	capital_name_text	string	0%	1	Rome
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	41 54 N, 12 29 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	41.0
`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	by tradition, named after Romulus, one of the legendary...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	15 regions (regioni, singular - regione) and 5...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	15.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system; Constitutional Court reviews...
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1848 (originally for the Kingdom of Sardinia...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1848.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by both houses of Parliament; passage requires...
`constitution_amendment_process_numeric`	constitution_amendment_process_numeric	float	0%	1	5.0
`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 Italy
`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	4 years for EU nationals, 5 years for refugees and...
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	4.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal except in senatorial...
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
+98 more extension fields — download the CSV/Parquet to see them all.

ITA OpenFactBook - Introduction — 1 rows, 7 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	ITA
`country_name`	Country name	string	SEL	0%	1	Italy
`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	Italy became a nation-state in 1861 when the regional...
`background_numeric`	background_numeric	float	0%	1	1861.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	europe/it.json

ITA OpenFactBook - Languages — 1 rows, 7 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	ITA
`country_name`	Country name	string	SEL	0%	1	Italy
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`languages_languages_text`	Languages (text)	string	0%	1	Italian (official), German (parts of Trentino-Alto Adige...
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	L'Almanacco dei fatti del mondo, l'indispensabile fonte...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	europe/it.json

ITA 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	ITA
`country_name`	Country name	string	SEL	0%	1	Italy
`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	520,127 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	520127.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	3,000 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	3000.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	europe/it.json

ITA OpenFactBook - Military And Security — 1 rows, 27 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	ITA
`country_name`	Country name	string	SEL	0%	1	Italy
`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	Italian Armed Forces (Forze Armate Italiane): Army...
`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	1.5% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	1.5
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	1.5% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	1.5
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	1.5% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	1.5
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1.5% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.5
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 170,000 active-duty military personnel;...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	170000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory includes a mix of domestically...
`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	17 or 18 years of age for voluntary military service for...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	17.0
`military_deployments_text`	military_deployments_text	string	0%	1	Italy has on average about 8,000 military personnel...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	8000.0
`military_note_text`	military_note_text	string	0%	1	the Italian military is responsible for Italy’s national...
`military_note_numeric`	military_note_numeric	float	0%	1	1948.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	europe/it.json

ITA OpenFactBook - People And Society — 1 rows, 136 columns

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Field details — 136 fields (type, nulls, unique, samples)

Standards-Aligned Fields (29)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	60924851.0
`population_male_numeric`	Population male	float	SEL	0%	1	29383949.0
`population_female_numeric`	Population female	float	SEL	0%	1	31540902.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	11.9
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	64.5
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	23.6
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	55.3
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	18.1
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	37.2
`median_age_total_numeric`	Median age	float	SEL	0%	1	48.8
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	-0.05
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	7.13
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	11.2
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	3.55
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	72.0
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.27
`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	6.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	3.0
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	83.0
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.27
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.62
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	4.19
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	3.2
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	99.3
`country_code`	Country code	string	SEL	0%	1	ITA
`country_name`	Country name	string	SEL	0%	1	Italy
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (107) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	60,924,851 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	29,383,949
`population_female_text`	population_female_text	string	0%	1	31,540,902
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	11.9% (male 3,699,167/female 3,531,734)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	64.5% (male 19,378,160/female 19,958,137)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	23.6% (2024 est.) (male 6,336,738/female 8,060,995)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	55.3 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	18.1 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	37.2 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	2.7 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	2.7
`median_age_total_text`	median_age_total_text	string	0%	1	48.8 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	47.4 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	47.4
`median_age_female_text`	median_age_female_text	string	0%	1	49.4 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	49.4
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	-0.05% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	7.13 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	11.2 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	3.55 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	a fairly even population distribution exists throughout...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	72% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.27% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	4.316 million ROME (capital), 3.155 million Milan, 2.179...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	4.316
`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	1.05 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.05
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.97 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.97
+77 more extension fields — download the CSV/Parquet to see them all.

ITA OpenFactBook - Religions — 1 rows, 12 columns

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Field details — 12 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	ITA
`country_name`	Country name	string	SEL	0%	1	Italy
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_christian_pct_synth`	Christian	numeric	CCL	0%	-	80.8
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	4.9
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.9

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	Christian 80.8% (overwhelmingly Roman Catholic with very...
`religions_numeric`	religions_numeric	float	0%	1	80.8
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	europe/it.json

Pending (2) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_unaffiliated_pct_synth`	unaffiliated	numeric	0%	-	13.4
`composition_ethnicity_italian_pct_synth`	Italian	numeric	0%	-	-

ITA OpenFactBook - Space — 1 rows, 13 columns

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Field details — 13 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	ITA
`country_name`	Country name	string	SEL	0%	1	Italy
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`space_agency_agencies_text`	space_agency_agencies_text	string	0%	1	Italian Space Agency (L’Agenzia Spaziale Italiana or...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	1988.0
`space_launch_site_s_text`	space_launch_site_s_text	string	0%	1	the Broglio (aka San Marco, Malindi) Space Center,...
`space_launch_site_s_numeric`	space_launch_site_s_numeric	float	0%	1	1967.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	one of the top contributors to the ESA; designs, builds,...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2025.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	1964 - first domestically manufactured science satellite...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1964.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	europe/it.json

ITA OpenFactBook - Terrorism — 1 rows, 6 columns

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Field details — 6 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	ITA
`country_name`	Country name	string	SEL	0%	1	Italy
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`terrorist_group_s_text`	terrorist_group_s_text	string	0%	1	Islamic State of Iraq and ash-Sham (ISIS)
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	europe/it.json

ITA OpenFactBook - Transportation — 1 rows, 32 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	SEL+	0%	1	I
`airports_numeric`	Airports count	float	SEL	0%	1	655.0
`country_code`	Country code	string	SEL	0%	1	ITA
`country_name`	Country name	string	SEL	0%	1	Italy
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (27) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	655 (2025)
`heliports_text`	heliports_text	string	0%	1	163 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	163.0
`railways_total_text`	railways_total_text	string	0%	1	18,475 km (2020) 12,936 km electrified
`railways_total_numeric`	railways_total_numeric	float	0%	1	18475.0
`railways_note`	railways_note	string	0%	1	1289.3 0.950-mm gauge (151.3 km electrified)
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	1,276 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	1276.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 17, container ship 6, general cargo 109,...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	17.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	123 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	123.0
`ports_large_text`	ports_large_text	float	0%	1	12
`ports_large_numeric`	ports_large_numeric	float	0%	1	12.0
`ports_medium_text`	ports_medium_text	float	0%	1	11
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	11.0
`ports_small_text`	ports_small_text	float	0%	1	71
`ports_small_numeric`	ports_small_numeric	float	0%	1	71.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	28
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	28.0
`ports_size_unknown_text`	ports_size_unknown_text	float	0%	1	1
`ports_size_unknown_numeric`	ports_size_unknown_numeric	float	0%	1	1.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	33
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	33.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Brindisi, Civitavecchia, Genova, Gioia Tauro, La Spezia,...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	europe/it.json

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

9 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 22 ext ▶

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

0 Admin 0 — 2 table(s)

ITA Nga Gns - Language — 8 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	ITA, ITA, ITA, ITA, ITA
`gns_language_code`	gns_language_code	string	CCL	0%	8	ita, deu, roh, fra, eng
`gns_language_name`	gns_language_name	string	CCL	0%	8	Italian, German, Romansh, French, English
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	8	4220, 96, 75, 63, 55
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	8	93.4455, 2.1258, 1.6608, 1.395, 1.2179
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 0, 0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	1	, , , ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	1	, , , ,
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0, 0, 0, 0, 0

ITA 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	ITA
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Italy
`gns_language_count`	gns_language_count	integer	CCL	0%	1	8
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.8988
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

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	38526
`gns_feature_count`	gns_feature_count	integer	0%	1	30342
`gns_endonym_count`	gns_endonym_count	integer	0%	1	38487
`gns_exonym_count`	gns_exonym_count	integer	0%	1	39
`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	21723
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	18065
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	6907
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	5085
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	5357
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	3743
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	2559
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	1877
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	30
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	18
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	1284
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	1227
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	610
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	276
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	56
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	51

ITA D-PLACE ITA-DPLACE Ethnographic Societies

2 rows · 1 table(s) D-PLACE 0 1 2 3 1 SEL 10 CCL 7 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)

ITA D-PLACE - Dplace Ea Societies — 2 rows, 18 columns

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Field details — 18 fields (type, nulls, unique, samples)

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	ITA, ITA
`society_id`	Society id	string	CCL	0%	2	Ce3, Ce5
`society_name`	Society name	string	CCL	0%	2	Ancient Romans, Neapolitans
`language_glottocode`	Language glottocode	string	CCL	0%	2	lati1261, neap1235
`language_name`	Language name	string	CCL	0%	1	,
`kinship_system`	Kinship system	string	CCL	0%	2	EA001:0; EA002:0; EA003:2; EA004:2; EA005:6, EA001:0;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	2	EA006:7; EA007:8; EA008:1; EA009:1; EA010:6, EA006:6;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	2	EA028:5; EA029:6; EA030:7; EA031:8; EA032:3, EA028:5;...
`political_complexity`	Political complexity	string	CCL	0%	2	EA033:5; EA034:1; EA035:5, EA033:4; EA034:4; EA035:8
`religion_importance`	Religion importance	string	CCL	0%	2	EA034:1; EA112:2, EA034:4; EA112:NA
`residence_pattern`	Residence pattern	string	CCL	0%	2	EA011:2; EA012:6; EA013:9, EA011:2; EA012:6; EA013:3

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Italy, Italy
`dataset`	dataset	string	0%	1	EA, EA
`region`	region	string	0%	1	,
`latitude`	latitude	float	0%	2	42.0, 40.89
`longitude`	longitude	float	0%	2	12.0, 14.25
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate

ITA Global Organized Crime Index ITA-OCINDEX Crime Index

1 rows · 1 table(s) GI-TOC / ENACT 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

ITA Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 35 fields (type, nulls, unique, samples)

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	0%	1	-
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1	-
`oc_criminality`	oc_criminality	numeric	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	0%	1	-
`oc_economic_regulatory_capacity`	oc_economic_regulatory_capacity	numeric	0%	1	-
`oc_extortion_and_protection_racketeering`	oc_extortion_and_protection_racketeering	numeric	0%	1	-
`oc_fauna_crimes`	oc_fauna_crimes	numeric	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	0%	1	-
`oc_flora_crimes`	oc_flora_crimes	numeric	0%	1	-
`oc_foreign_actors`	oc_foreign_actors	numeric	0%	1	-
`oc_government_transparency_and_accountability`	oc_government_transparency_and_accountability	numeric	0%	1	-
`oc_heroin_trade`	oc_heroin_trade	numeric	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	0%	1	-
`oc_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	numeric	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	0%	1	-
`oc_mafia_style_groups`	oc_mafia_style_groups	numeric	0%	1	-
`oc_national_policies_and_laws`	oc_national_policies_and_laws	numeric	0%	1	-
`oc_non_renewable_resource_crimes`	oc_non_renewable_resource_crimes	numeric	0%	1	-
`oc_non_state_actors`	oc_non_state_actors	numeric	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	0%	1	-
`oc_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
+5 more extension fields — download the CSV/Parquet to see them all.

ITA World Values Survey ITA-WVS Attitudes Values

1 rows · 1 table(s) World Values Survey 0 1 2 3 1 SEL 25 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)

ITA WVS - Country Aggregates — 1 rows, 26 columns

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Field details — 26 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	ITA

Extension Fields (25) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`wave`	wave	integer	0%	1	7
`wave_years`	wave_years	string	0%	1	2017-2022
`source`	source	string	0%	1	World Values Survey
`importance_religion`	importance_religion	integer	0%	1	1
`importance_family`	importance_family	integer	0%	1	1
`importance_friends`	importance_friends	integer	0%	1	1
`trust_people`	trust_people	integer	0%	1	1
`trust_family`	trust_family	integer	0%	1	1
`life_satisfaction`	life_satisfaction	integer	0%	1	1
`happiness`	happiness	integer	0%	1	1
`freedom_choice`	freedom_choice	integer	0%	1	1
`gender_jobs_scarce`	gender_jobs_scarce	integer	0%	1	1
`gender_political_leaders`	gender_political_leaders	integer	0%	1	1
`gender_university`	gender_university	integer	0%	1	1
`justifiable_divorce`	justifiable_divorce	integer	0%	1	1
`justifiable_homosexuality`	justifiable_homosexuality	integer	0%	1	1
`immigration_policy`	immigration_policy	integer	0%	1	1
`immigrants_jobs`	immigrants_jobs	integer	0%	1	1
`immigrants_culture`	immigrants_culture	integer	0%	1	1
`confidence_government`	confidence_government	integer	0%	1	1
`confidence_parliament`	confidence_parliament	integer	0%	1	1
`confidence_police`	confidence_police	integer	0%	1	1
`confidence_courts`	confidence_courts	integer	0%	1	1
`confidence_press`	confidence_press	integer	0%	1	1
`democracy_importance`	democracy_importance	integer	0%	1	1

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share	Script
Italian (ita)	4,220	93.4%	—
German (deu)	96	2.1%	—
Romansh (roh)	75	1.7%	—
French (fra)	63	1.4%	—
English (eng)	55	1.2%	—
Slovenian (slv)	4	0.1%	—

Source	Type	Access
Eurostat	official_nso	api
Istituto Nazionale di Statistica (ISTAT)	official_nso	api
World Values Survey	academic	metadata_catalog
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Google	commercial	bulk_download
World Bank Open Data	international_organization	api
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
Global Data Lab	academic	api
Glottolog Language Catalog	academic	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