Montenegro

MNE Statistical Office of Montenegro (MONSTAT) MNE-MONSTAT_CENSUS Census

26 rows · 2 table(s) Statistical Office of Montenegro (MONSTAT) 0 1 2 3 6 SEL ▶

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0 Admin 0 — 1 table(s)

MNE Monstat Census - Mne 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	MNE
`admin_name`	admin_name	string	SEL	0%	1	Montenegro
`population_count`	population_count	integer	SEL	0%	1	623633

Pending (2) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_0
`year`	year	integer	0%	1	2023

1 Admin 1 — 1 table(s)

MNE Monstat Census - Mne Population (admin_1) — 25 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%	25	andrijevica, bar, berane, bijelo_polje, budva
`admin_name`	admin_name	string	SEL	0%	25	Andrijevica, Bar, Berane, Bijelo Polje, Budva
`population_count`	population_count	integer	SEL	0%	25	3910, 45812, 24645, 38662, 27445

Pending (2) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	year	integer	0%	1	2023, 2023, 2023, 2023, 2023

Montenegro Register Census (Eurostat demo_r_pjangrp3) MNE-EUROSTAT-CENSUS Census

4 rows · 4 table(s) Eurostat 0 1 2 3 16 SEL 8 ext ▶

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0 Admin 0 — 1 table(s)

Montenegro 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%	-	ME
`region_name`	region name	string	SEL	0%	-	Montenegro
`admin_level`	admin level	string	SEL	0%	-	admin_0
`population_total`	population total	integer	SEL	0%	-	616695

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	304691
`population_women`	population women	integer	0%	-	312004

1 Admin 1 — 1 table(s)

Montenegro 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%	-	ME0
`region_name`	region name	string	SEL	0%	-	Crna Gora
`admin_level`	admin level	string	SEL	0%	-	admin_1
`population_total`	population total	integer	SEL	0%	-	616695

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	304691
`population_women`	population women	integer	0%	-	312004

2 Admin 2 — 1 table(s)

Montenegro Register Census — NUTS-2 — 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%	-	ME00
`region_name`	region name	string	SEL	0%	-	Crna Gora
`admin_level`	admin level	string	SEL	0%	-	admin_2
`population_total`	population total	integer	SEL	0%	-	616695

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	304691
`population_women`	population women	integer	0%	-	312004

3 Admin 3 — 1 table(s)

Montenegro Register Census — NUTS-3 — 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%	-	ME000
`region_name`	region name	string	SEL	0%	-	Crna Gora
`admin_level`	admin level	string	SEL	0%	-	admin_3
`population_total`	population total	integer	SEL	0%	-	616695

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	304691
`population_women`	population women	integer	0%	-	312004

MNE UNHCR Refugee Data Finder MNE-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)

MNE 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%	-	-

MNE 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%	-	-

MNE World Bank Open Data MNE-WORLD_BANK Development Indicators

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

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0 Admin 0 — 2 table(s)

MNE 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	ME, ME, ME, ME, ME
`population_count`	Population count	float	SEL	2%	65	480579.0, 491140.0, 502558.0, 513409.0, 521753.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	65.4921951219512, 65.9281951219512, 66.2178780487805,...
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	58%	28	1375.32616813442, 1405.81632669854, 1367.90257335097,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	92%	5	89.6399993896484, 93.4599990844727, 97.7699966430664,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	39%	37	27.2, 24.8, 22.5, 20.5, 18.9
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	71%	19	11.2, 11.3, 8.0, 4.9, 6.8

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

MNE 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	ME, ME, ME, ME, ME
`life_expectancy`	Life expectancy	float	SEL	3%	64	65.4921951219512, 65.9281951219512, 66.2178780487805,...
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	47%	34	11.6, 10.9, 10.3, 9.9, 9.6
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	39%	37	27.2, 24.8, 22.5, 20.5, 18.9
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	9	11.0, 11.0, 10.0, 10.0, 10.0
`fertility_rate`	Fertility rate	float	SEL	3%	55	3.532, 3.487, 3.443, 3.382, 3.279
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	56	28.633, 28.246, 27.87, 27.328, 26.268
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	54	9.606, 9.354, 9.162, 8.924, 8.584
`physicians_per_1000`	Physicians per 1000	float	SEL	62%	25	1.8, 1.823, 1.85, 1.84, 1.798
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	65%	18	4.12, 4.15, 4.1, 4.14, 4.14
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	71%	12	90.0, 92.0, 95.0, 92.0, 94.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	80%	13	7.96692181, 8.29550457, 8.47144604, 8.00086784, 9.02188778

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

MNE Global Data Lab MNE-GDL Development Indices

96 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)

MNE GDL - Subnational Indices — 96 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	MNE, MNE, MNE, MNE, MNE
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	4	Total, Centre, North, South, Total
`human_development_index`	Human development index	float	SEL	0%	68	0.736, 0.745, 0.754, 0.705, 0.745
`health_index`	Health index	float	SEL	0%	20	0.824, 0.824, 0.824, 0.824, 0.827
`education_index`	Education index	float	SEL	0%	82	0.638, 0.655, 0.667, 0.584, 0.657
`income_index`	Income index	float	SEL	0%	63	0.758, 0.766, 0.78, 0.726, 0.76
`life_expectancy`	Life expectancy	float	SEL	0%	22	73.55, 73.55, 73.55, 73.55, 73.74
`mean_years_schooling`	Mean years schooling	float	SEL	0%	87	9.575, 9.951, 10.18, 8.457, 9.857

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	24	2000, 2000, 2000, 2000, 2001
`level`	level	string	0%	2	national, subnational, subnational, subnational, national

MNE LandScan Global (ORNL) MNE-LANDSCAN Modeled Population

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

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0 Admin 0 — 1 table(s)

MNE 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	MNE
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Montenegro
`admin_code`	Admin code	string	SEL	0%	1	69169217B52475781511841
`area_sqkm`	Area sqkm	float	SEL	0%	1	13886.2788
`pop_2024`	Population count	integer	SEL	0%	1	586413
`pop_density_2024`	Population density	float	SEL	0%	1	42.23

1 Admin 1 — 1 table(s)

MNE LandScan - Population Admin1 (admin_1) — 23 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	MNE, MNE, MNE, MNE, MNE
`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%	23	Podgorica Municipality, Nikšić Municipality, Bar...
`admin_code`	Admin code	string	SEL	0%	23	59799669B20319020653405, 59799669B66678983232609,...
`area_sqkm`	Area sqkm	float	SEL	0%	23	1464.7917, 2022.0863, 627.2239, 955.8411, 233.8977
`pop_2024`	Population count	integer	SEL	0%	23	195350, 66413, 41551, 40213, 26658
`pop_density_2024`	Population density	float	SEL	0%	23	133.36, 32.84, 66.25, 42.07, 113.97

Locality Locality — 1 table(s)

MNE LandScan - Cities (locality) — 2 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	MNE, MNE
`admin_level`	Admin level	string	SEL	0%	1	locality, locality
`admin_name`	Admin name	string	SEL	0%	2	Podgorica, Nikšić
`admin_code`	Admin code	integer	SEL	0%	2	272, 98
`area_sqkm`	Area sqkm	float	SEL	0%	2	30.9819, 14.992
`pop_2024`	Population count	integer	SEL	0%	2	105211, 35653
`pop_density_2024`	Population density	float	SEL	0%	2	3395.89, 2378.14

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%	2	152731, 52875
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	2	0.689, 0.674

MNE OpenFactBook MNE-OPENFACTBOOK Country Profile

15 rows · 15 table(s) OpenFactBook 0 1 2 3 96 SEL 3 CCL 577 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 — 15 table(s)

MNE 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	30.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	203.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.me
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	90.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	32.0
`country_code`	Country code	string	SEL	0%	1	MNE
`country_name`	Country name	string	SEL	0%	1	Montenegro
`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	190,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	190000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	30 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	1.31 million (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	1.31
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	203 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	state-funded national radio and TV broadcaster operates...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	2.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	90% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	203,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	203000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	32 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	europe/mj.json

MNE OpenFactBook - Economy — 1 rows, 157 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	27900.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	8.07
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	20.3
`country_code`	Country code	string	SEL	0%	1	MNE
`country_name`	Country name	string	SEL	0%	1	Montenegro
`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, small Balkan economy; uses euro as...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$17.375 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	17.375
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$16.862 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	16.862
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$15.857 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	15.857
`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% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	3.0
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	6.3% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	6.3
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	6.4% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	6.4
`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	$27,900 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$27,000 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	27000.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$25,400 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	25400.0
`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	$8.07 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	3.3% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	3.3
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	8.6% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	8.6
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	13% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	13.0
`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	5.2% (2024 est.)
+121 more extension fields — download the CSV/Parquet to see them all.

MNE OpenFactBook - Energy — 1 rows, 39 columns

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Field details — 39 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	MNE
`country_name`	Country name	string	SEL	0%	1	Montenegro
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (35) — 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	1.082 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	1.082
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	2.719 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	2.719
`electricity_exports_text`	electricity_exports_text	string	0%	1	6.288 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	6.288
`electricity_imports_text`	electricity_imports_text	string	0%	1	5.421 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	5.421
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	601.023 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	601.023
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	39.1% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	39.1
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	0.4% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	0.4
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	7.5% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	7.5
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	53% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	53.0
`coal_production_text`	coal_production_text	string	0%	1	1.862 million metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	1.862
`coal_consumption_text`	coal_consumption_text	string	0%	1	1.658 million metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	1.658
`coal_exports_text`	coal_exports_text	string	0%	1	205,000 metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	205000.0
`coal_imports_text`	coal_imports_text	string	0%	1	2.8 metric tons (2022 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	2.8
`coal_proven_reserves_text`	coal_proven_reserves_text	string	0%	1	337 million metric tons (2023 est.)
`coal_proven_reserves_numeric`	coal_proven_reserves_numeric	float	0%	1	337.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	9,000 bbl/day (2023 est.)
+5 more extension fields — download the CSV/Parquet to see them all.

MNE OpenFactBook - Environment — 1 rows, 43 columns

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Field details — 43 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	19.6
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	61.5
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	68.5
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.45
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	329800.0
`country_code`	Country code	string	SEL	0%	1	MNE
`country_name`	Country name	string	SEL	0%	1	Montenegro
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	pollution of coastal waters from sewage outlets; serious...
`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_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 climate, hot dry summers and autumns and...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	19.6% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 0.7% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	0.7
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.4% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.4
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 18.5% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	18.5
`land_use_forest_text`	land_use_forest_text	string	0%	1	61.5% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	18.9% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	18.9
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	68.5% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.45% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	2.808 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	2.808
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	1.543 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	1.543
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	1.265 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	1.265
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	17.9 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	17.9
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	329,800 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	6.4% (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	6.4
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	121.32 million cubic meters (2022 est.)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	121.32
`total_water_withdrawal_industrial_text`	total_water_withdrawal_industrial_text	string	0%	1	2.079 billion cubic meters (2022 est.)
+5 more extension fields — download the CSV/Parquet to see them all.

MNE OpenFactBook - Ethnic Groups — 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	MNE
`country_name`	Country name	string	SEL	0%	1	Montenegro
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	Montenegrin(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Montenegrin
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Montenegrin 45%, Serbian 28.7%, Bosniak 8.7%, Albanian...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	45.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	europe/mj.json

MNE OpenFactBook - Geography — 1 rows, 55 columns

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Field details — 55 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	13812.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	13452.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	360.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	680.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	293.5
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	2534.0
`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	19.6
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	61.5
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	24.0
`country_code`	Country code	string	SEL	0%	1	MNE
`country_name`	Country name	string	SEL	0%	1	Montenegro
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (42) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southeastern Europe, between the Adriatic Sea and Serbia
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	42 30 N, 19 18 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	13,812 sq km
`area_land_text`	area_land_text	string	0%	1	13,452 sq km
`area_water_text`	area_water_text	string	0%	1	360 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly smaller than Connecticut; slightly larger than...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	680 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Albania 186 km; Bosnia and Herzegovina 242 km; Croatia...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	186.0
`coastline_text`	coastline_text	string	0%	1	293.5 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	defined by treaty
`climate_text`	climate_text	string	0%	1	Mediterranean climate, hot dry summers and autumns and...
`terrain_text`	terrain_text	string	0%	1	highly indented coastline with narrow coastal plain...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Zia Kolata 2,534 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	1,086 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	1086.0
`natural_resources_text`	natural_resources_text	string	0%	1	bauxite, hydroelectricity
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	19.6% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 0.7% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	0.7
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.4% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.4
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 18.5% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	18.5
`land_use_forest_text`	land_use_forest_text	string	0%	1	61.5% (2023 est.)
+12 more extension fields — download the CSV/Parquet to see them all.

MNE OpenFactBook - Government — 1 rows, 107 columns

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Field details — 107 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MNE
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (105) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	none
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Montenegro
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	none
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Crna Gora
`country_name_former_text`	country_name_former_text	string	0%	1	People's Republic of Montenegro, Socialist Republic of...
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the name in Italian means "dark mountain" and is a...
`government_type_text`	government_type_text	string	0%	1	parliamentary republic
`capital_name_text`	capital_name_text	string	0%	1	Podgorica
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	42 26 N, 19 16 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	42.0
`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	+1 hr, 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 Slavic name translates as "under the mountain," from...
`capital_note`	capital_note	string	0%	1	note: Cetinje retains the status of "Old Royal Capital"
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	25 municipalities (opstine, singular - opstina);...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	25.0
`legal_system_text`	legal_system_text	string	0%	1	civil law
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest adopted 22 October 2007
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	22.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the president of Montenegro, by the...
`constitution_amendment_process_numeric`	constitution_amendment_process_numeric	float	0%	1	25.0
`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 Montenegro
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	no
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	10 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	10.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal
+75 more extension fields — download the CSV/Parquet to see them all.

MNE 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	MNE
`country_name`	Country name	string	SEL	0%	1	Montenegro
`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 use of the name Crna Gora or Black Mountain...
`background_numeric`	background_numeric	float	0%	1	13.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	europe/mj.json

MNE OpenFactBook - Languages — 1 rows, 8 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MNE
`country_name`	Country name	string	SEL	0%	1	Montenegro
`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	Serbian 42.9%, Montenegrin (official) 37%, Bosnian 5.3%,...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	42.9
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	Knjiga svetskih činjenica, neophodan izvor osnovnih...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	europe/mj.json

MNE 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	MNE
`country_name`	Country name	string	SEL	0%	1	Montenegro
`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	18,820 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	18820.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	423 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	423.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	europe/mj.json

MNE OpenFactBook - Military And Security — 1 rows, 25 columns

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Field details — 25 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	MNE
`country_name`	Country name	string	SEL	0%	1	Montenegro
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (22) — 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	Army of Montenegro (Vojska Crne Gore or VCG): Ground...
`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	1.7% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	1.7
`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	1.4% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	1.4
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1.6% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.6
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 2,000 active-duty military personnel (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	2000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory is small and consists 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	18-30 for voluntary military service; conscription...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_note_text`	military_note_text	string	0%	1	the Army of Montenegro is responsible for the defense of...
`military_note_numeric`	military_note_numeric	float	0%	1	2017.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	europe/mj.json

MNE OpenFactBook - People And Society — 1 rows, 148 columns

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Field details — 148 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	599849.0
`population_male_numeric`	Population male	float	SEL	0%	1	294482.0
`population_female_numeric`	Population female	float	SEL	0%	1	305367.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	17.7
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	64.4
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	17.9
`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	27.5
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	27.8
`median_age_total_numeric`	Median age	float	SEL	0%	1	41.5
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	-0.46
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	10.77
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	10.29
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-5.03
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	68.5
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.45
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.04
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.96
`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	3.1
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	78.2
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.8
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.88
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	2.78
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	3.8
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	98.5
`country_code`	Country code	string	SEL	0%	1	MNE
`country_name`	Country name	string	SEL	0%	1	Montenegro
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (119) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	599,849 (2024 est.)
`population_male_text`	population_male_text	string	0%	1	294,482
`population_female_text`	population_female_text	string	0%	1	305,367
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	17.7% (male 54,608/female 51,594)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	64.4% (male 192,631/female 193,515)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	17.9% (2024 est.) (male 47,243/female 60,258)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	55.3 (2024 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	27.5 (2024 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	27.8 (2024 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	3.6 (2024 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	3.6
`median_age_total_text`	median_age_total_text	string	0%	1	41.5 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	39.5 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	39.5
`median_age_female_text`	median_age_female_text	string	0%	1	42.5 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	42.5
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	-0.46% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	10.77 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	10.29 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-5.03 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	highest population density is concentrated in the south...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	68.5% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.45% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	177,000 PODGORICA (capital) (2018)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	177000.0
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.04 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.06 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.06
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.0
+89 more extension fields — download the CSV/Parquet to see them all.

MNE OpenFactBook - Religions — 1 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_code`	Country code	string	SEL	0%	1	MNE
`country_name`	Country name	string	SEL	0%	1	Montenegro
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	19.1
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	1.5
`composition_ethnicity_primary_label_synth`	Montenegrin	string	CCL	0%	-	Montenegrin

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	Orthodox 72.1%, Muslim 19.1%, Catholic 3.4%, atheist...
`religions_numeric`	religions_numeric	float	0%	1	72.1
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	europe/mj.json

Pending (14) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_orthodox_pct_synth`	Orthodox	numeric	0%	-	72.1
`composition_religion_catholic_pct_synth`	Catholic	numeric	0%	-	3.4
`composition_religion_atheist_pct_synth`	atheist	numeric	0%	-	1.2
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	2.6
`composition_ethnicity_montenegrin_pct_synth`	Montenegrin	numeric	0%	-	45.0
`composition_ethnicity_serbian_pct_synth`	Serbian	numeric	0%	-	28.7
`composition_ethnicity_bosniak_pct_synth`	Bosniak	numeric	0%	-	8.7
`composition_ethnicity_albanian_pct_synth`	Albanian	numeric	0%	-	4.9
`composition_ethnicity_muslim_pct_synth`	Muslim	numeric	0%	-	3.3
`composition_ethnicity_romani_pct_synth`	Romani	numeric	0%	-	1.0
`composition_ethnicity_croat_pct_synth`	Croat	numeric	0%	-	1.0
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	2.6
`composition_ethnicity_unspecified_pct_synth`	unspecified	numeric	0%	-	4.9
`composition_ethnicity_primary_share_pct_synth`	Montenegrin	numeric	0%	-	45.0

MNE OpenFactBook - Terrorism — 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
`country_code`	Country code	string	SEL	0%	1	MNE
`country_name`	Country name	string	SEL	0%	1	Montenegro
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	europe/mj.json

MNE 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	4O
`airports_numeric`	Airports count	float	SEL	0%	1	5.0
`country_code`	Country code	string	SEL	0%	1	MNE
`country_name`	Country name	string	SEL	0%	1	Montenegro
`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
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	4.0
`airports_text`	airports_text	string	0%	1	5 (2025)
`heliports_text`	heliports_text	string	0%	1	1 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	1.0
`railways_total_text`	railways_total_text	string	0%	1	250 km (2017)
`railways_total_numeric`	railways_total_numeric	float	0%	1	250.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	250 km (2017) 1.435-m gauge (224 km electrified)
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	250.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	18 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	18.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 4, other 14
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	4.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	4 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	4.0
`ports_large_text`	ports_large_text	float	0%	1	0
`ports_large_numeric`	ports_large_numeric	float	0%	1	0.0
`ports_medium_text`	ports_medium_text	float	0%	1	0
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	0.0
`ports_small_text`	ports_small_text	float	0%	1	1
`ports_small_numeric`	ports_small_numeric	float	0%	1	1.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	3
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	3.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	1
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	1.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Bar, Kotor, Risan, Tivat
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	europe/mj.json

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

12 rows · 2 table(s) 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)

MNE Nga Gns - Language — 11 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	MNE, MNE, MNE, MNE, MNE
`gns_language_code`	gns_language_code	string	CCL	0%	11	srp, sqi, eng, hbs, mkd
`gns_language_name`	gns_language_name	string	CCL	0%	11	Serbian, Albanian, English,...
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	8	3653, 99, 16, 9, 4
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	8	96.3344, 2.6108, 0.4219, 0.2373, 0.1055
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	4	73, 1, 0, 3, 1
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	2	Latn, Latn, Latn, Latn, Latn
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	2	Latin, Latin, Latin, Latin, Latin
`gns_script_count`	gns_script_count	integer	CCL	0%	2	2, 1, 1, 2, 2

MNE 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	MNE
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Montenegro
`gns_language_count`	gns_language_count	integer	CCL	0%	1	11
`gns_script_count`	gns_script_count	integer	CCL	0%	1	3
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9579
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	82

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	16624
`gns_feature_count`	gns_feature_count	integer	0%	1	14162
`gns_endonym_count`	gns_endonym_count	integer	0%	1	16617
`gns_exonym_count`	gns_exonym_count	integer	0%	1	7
`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	5001
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	4048
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	6718
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	5887
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	1788
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	1703
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	1832
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	1531
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	1136
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	949
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	133
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	29
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	3
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	3
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	13
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	12

MNE Ethnic Power Relations Dataset MNE-EPR Political Ethnicity

6 rows · 1 table(s) Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 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)

MNE EPR - Groups — 6 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	MNE, MNE, MNE, MNE, MNE
`ethnic_group_name`	Ethnic group name	string	CCL	0%	6	Montenegrins, Serbs, Bosniak/Muslims, Albanians, Croats
`ethnic_power_status`	Ethnic power status	string	CCL	0%	4	JUNIOR PARTNER, SENIOR PARTNER, POWERLESS, JUNIOR...
`ethnic_population_share`	Ethnic population share	float	CCL	0%	5	0.45, 0.287, 0.119, 0.049, 0.01
`ethnic_group_id`	Ethnic group id	float	CCL	0%	6	34101000, 34102000, 34103000, 34104000, 34105000
`regional_autonomy`	Regional autonomy	string	CCL	0%	1	false, false, false, false, false

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	1	2021, 2021, 2021, 2021, 2021
`group_relevance`	group_relevance	string	0%	1	, , , ,

MNE Glottolog Language Catalog MNE-GLOTTOLOG Language

5 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)

MNE Glottolog - Languages — 5 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%	5	balk1252, carp1235, gheg1238, sint1235, vlax1238
`name`	Name	string	CCL	0%	5	Balkan Romani, Central Romani, Gheg Albanian,...
`iso639_3`	Iso639 3	string	CCL	0%	5	rmn, rmc, aln, rmo, rmy
`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%	1	indo1319, indo1319, indo1319, indo1319, indo1319
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	3	roma1329, roma1329, alba1267, nort3197, roma1329
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	5	['AL', 'AT', 'BA', 'BG', 'BY', 'CH', 'CZ', 'DE', 'FI',...
`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%	4	19, 14, 7, 14, 18

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	5	42.67, 48.1968, 42.317, 48.7, 46.09
`longitude`	longitude	float	0%	5	21.17, 20.3129, 21.3837, 9.4, 18.16
`classification`	classification	string	0%	1	[], [], [], [], []

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

2 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)

MNE GHS-UCDB - Cities (locality) — 2 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%	2	Podgorica, Nikšić
`country_code`	Country code	string	SEL	0%	1	MNE, MNE
`population`	Population count	integer	SEL	0%	2	152731, 52875

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	2	272, 98
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Montenegro, Montenegro
`population_year`	population_year	integer	0%	1	2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

MNE Global Organized Crime Index MNE-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)

MNE 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.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share	Script
Serbian (srp)	3,653	96.3%	Latin
Albanian (sqi)	99	2.6%	Latin
English (eng)	16	0.4%	Latin
Bosnian/Croatian/Montenegrin/Serbian (hbs)	9	0.2%	Latin
Macedonian (mkd)	4	0.1%	Latin
Slovenian (slv)	3	0.1%	Latin
Greek, Modern (1453-) (ell)	2	0.1%	Latin
Bulgarian (bul)	2	0.1%	Cyrillic
+ 1 further language (2 names, each under 0.05%)

Source	Type	Access
Eurostat	official_nso	api
Statistical Office of Montenegro (MONSTAT)	official_nso	bulk_download
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Ethnic Power Relations Dataset	academic	bulk_download
World Bank Open Data	international_organization	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
Global Data Lab	academic	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