| 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 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_0 |
year |
year | integer | 0% | 1 | 2023 |
| 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 |
| 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 |
| 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 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 304691 |
population_women |
population women | integer | 0% | - | 312004 |
| 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 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 304691 |
population_women |
population women | integer | 0% | - | 312004 |
| 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 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 304691 |
population_women |
population women | integer | 0% | - | 312004 |
| 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 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 304691 |
population_women |
population women | integer | 0% | - | 312004 |
| 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 |
| 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 |
| 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 |
| 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 |
ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| 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 |
| 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 |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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. | |||||
| 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 |
| 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. | |||||
| 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 |
| 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. | |||||
| 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 |
| 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 |
| 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 |
| 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. | |||||
| 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 |
| 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. | |||||
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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. | |||||
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , , , |
| 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 |
| 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 | [], [], [], [], [] |
| 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 |
| 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% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | 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_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_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | 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_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | MNE |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 75 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 5 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 66 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 6 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 6 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 51 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 6 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 5.5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 39 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 7 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 7.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 40 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 6.6 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | integer | 0% | 1 | 7 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 89 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 5.2 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | integer | 0% | 1 | 5 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 34 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | integer | 0% | 1 | 7 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 7 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 64 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 5.9 |
oc_criminality_2021 |
oc_criminality_2021 | integer | 0% | 1 | 6 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 79 |
| +74 more pending fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share | Script |
|---|---|---|---|
| Serbian (srp) | 3,653 | 96.3% | Latin +1 |
| Albanian (sqi) | 99 | 2.6% | Latin |
| English (eng) | 16 | 0.4% | Latin |
| Bosnian/Croatian/Montenegrin/Serbian (hbs) | 9 | 0.2% | Latin +1 |
| Macedonian (mkd) | 4 | 0.1% | Latin +1 |
| Slovenian (slv) | 3 | 0.1% | Latin |
| Greek, Modern (1453-) (ell) | 2 | 0.1% | Latin +1 |
| Bulgarian (bul) | 2 | 0.1% | Cyrillic +1 |
| + 1 further language (2 names, each under 0.05%) | |||
14,162 distinct features ·
11 languages ·
3 scripts ·
82 names in non-Roman script ·
7 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| 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 |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.