Data from trusted sources
Eurostat
•
World Bank Data
•
OECD
•
UN Data
•
IMF
Explore datasets for Montenegro
Query thousands of Montenegrin statistics via Monitly API
GET
/api/datasets?country=MNE&limit=100{
"data": [
{
"id": 188,
"dataset_name": "Animal populations by NUTS 2 region",
"last_update": "2025-07-22T11:00:00+0200"
},
{
"id": 206,
"dataset_name": "Crop production - historical data (1955-1999)",
"last_update": "2023-08-01T23:00:00+0200"
},
{
"id": 208,
"dataset_name": "Crop production by NUTS 2 region - historical data (1975-1999)",
"last_update": "2023-08-01T23:00:00+0200"
},
{
"id": 234,
"dataset_name": "Commercial aircraft fleet by age of aircraft and country of operator",
"last_update": "2024-11-15T23:00:00+0100"
},
{
"id": 235,
"dataset_name": "Commercial aircraft fleet by age of aircraft and country of registration",
"last_update": "2024-11-15T23:00:00+0100"
},
{
"id": 236,
"dataset_name": "Commercial aircraft fleet by aircraft category and country of operator",
"last_update": "2024-11-15T23:00:00+0100"
},
{
"id": 237,
"dataset_name": "Commercial aircraft fleet by aircraft category and country of registration",
"last_update": "2024-11-15T23:00:00+0100"
},
{
"id": 245,
"dataset_name": "Commercial airports by type",
"last_update": "2025-03-18T23:00:00+0100"
},
{
"id": 295,
"dataset_name": "International trade in services (since 2010) (BPM6)"
},
{
"id": 304,
"dataset_name": "Material import dependency",
"last_update": "2025-07-04T23:00:00+0200"
},
{
"id": 306,
"dataset_name": "Resource productivity",
"last_update": "2025-07-04T23:00:00+0200"
},
{
"id": 309,
"dataset_name": "Waste generation per capita",
"last_update": "2025-09-22T23:00:00+0200"
},
{
"id": 316,
"dataset_name": "Recycling rate of all waste excluding major mineral waste",
"last_update": "2024-11-28T23:00:00+0100"
},
{
"id": 368,
"dataset_name": "Legal cases processed in first instance courts by legal status of the court process (until 2022)",
"last_update": "2024-04-23T23:00:00+0200"
},
{
"id": 370,
"dataset_name": "Persons brought before criminal courts by legal status of the court process",
"last_update": "2025-04-23T11:00:00+0200"
},
{
"id": 371,
"dataset_name": "Police-recorded offences by NUTS 3 region",
"last_update": "2025-04-23T11:00:00+0200"
},
{
"id": 372,
"dataset_name": "Intentional homicide and sexual offences by legal status and sex of the person involved",
"last_update": "2025-04-23T11:00:00+0200"
},
{
"id": 373,
"dataset_name": "Intentional homicide and sexual offences by legal status and sex of the person involved",
"last_update": "2024-04-23T23:00:00+0200"
},
{
"id": 374,
"dataset_name": "Victims of intentional homicide and sexual exploitation by age and sex",
"last_update": "2025-04-23T11:00:00+0200"
},
{
"id": 375,
"dataset_name": "Victims of intentional homicide and sexual exploitation by age and sex",
"last_update": "2024-04-24T11:00:00+0200"
},
{
"id": 376,
"dataset_name": "Victims of intentional homicide and sexual exploitation by age and sex",
"last_update": "2024-04-24T11:00:00+0200"
},
{
"id": 377,
"dataset_name": "Intentional homicide victims by victim-offender relationship and sex",
"last_update": "2025-04-23T11:00:00+0200"
},
{
"id": 378,
"dataset_name": "Intentional homicide victims by victim-offender relationship and sex",
"last_update": "2024-04-23T23:00:00+0200"
},
{
"id": 379,
"dataset_name": "Suspects and offenders by age",
"last_update": "2025-04-23T11:00:00+0200"
},
{
"id": 380,
"dataset_name": "Bribery by legal status and sex of the person involved",
"last_update": "2025-08-12T23:00:00+0200"
},
{
"id": 381,
"dataset_name": "Suspects and offenders by citizenship",
"last_update": "2025-04-23T11:00:00+0200"
},
{
"id": 382,
"dataset_name": "Personnel in the criminal justice system by sex",
"last_update": "2025-04-23T11:00:00+0200"
},
{
"id": 383,
"dataset_name": "Suspects and offenders by sex",
"last_update": "2025-04-23T11:00:00+0200"
},
{
"id": 384,
"dataset_name": "Police-recorded offences by offence category",
"last_update": "2025-08-12T23:00:00+0200"
},
{
"id": 385,
"dataset_name": "Police-recorded offences by offence category",
"last_update": "2024-04-23T23:00:00+0200"
},
{
"id": 386,
"dataset_name": "Police-recorded offences by offence category",
"last_update": "2024-04-23T23:00:00+0200"
},
{
"id": 387,
"dataset_name": "Prisoners by age and sex",
"last_update": "2025-04-23T11:00:00+0200"
},
{
"id": 388,
"dataset_name": "Prison capacity and number of persons held",
"last_update": "2025-04-23T11:00:00+0200"
},
{
"id": 389,
"dataset_name": "Prisoners by citizenship",
"last_update": "2025-04-23T11:00:00+0200"
},
{
"id": 390,
"dataset_name": "Prisoners by offence category and sex",
"last_update": "2025-08-12T23:00:00+0200"
},
{
"id": 391,
"dataset_name": "Prisoners by legal status of the trial process",
"last_update": "2025-04-23T11:00:00+0200"
},
{
"id": 393,
"dataset_name": "Persons involved in migrant smuggling by legal status and sex",
"last_update": "2025-04-23T11:00:00+0200"
},
{
"id": 404,
"dataset_name": "Cultural employment by age",
"last_update": "2025-05-20T23:00:00+0200"
},
{
"id": 405,
"dataset_name": "Persons working as creative and performing artists, authors, journalists and linguists",
"last_update": "2025-06-06T11:00:00+0200"
},
{
"id": 406,
"dataset_name": "Persons working as creative and performing artists, authors, journalists and linguists by individual and employment characteristics",
"last_update": "2025-06-06T11:00:00+0200"
},
{
"id": 407,
"dataset_name": "Cultural employment by educational attainment level",
"last_update": "2025-05-20T23:00:00+0200"
},
{
"id": 408,
"dataset_name": "Cultural employment by NACE Rev. 2 activity",
"last_update": "2025-05-20T23:00:00+0200"
},
{
"id": 410,
"dataset_name": "Cultural employment by sex",
"last_update": "2025-05-20T23:00:00+0200"
},
{
"id": 510,
"dataset_name": "Cultural employment by sex and selected labour market characteristics",
"last_update": "2025-05-20T23:00:00+0200"
},
{
"id": 511,
"dataset_name": "Mean consumption expenditure of private households on cultural goods and services by COICOP consumption purpose",
"last_update": "2025-04-24T23:00:00+0200"
},
{
"id": 512,
"dataset_name": "Mean consumption expenditure of private households on cultural goods and services by income quintile",
"last_update": "2025-04-24T23:00:00+0200"
},
{
"id": 513,
"dataset_name": "Intra and extra-EU trade in cultural goods by product",
"last_update": "2025-08-28T23:00:00+0200"
},
{
"id": 514,
"dataset_name": "Intra and extra-EU trade in cultural goods by product and partner",
"last_update": "2025-08-28T23:00:00+0200"
},
{
"id": 515,
"dataset_name": "Divorces by country of birth of wife and husband",
"last_update": "2025-04-09T23:00:00+0200"
},
{
"id": 516,
"dataset_name": "Divorces by citizenship of wife and husband",
"last_update": "2025-04-09T23:00:00+0200"
},
{
"id": 517,
"dataset_name": "Legally induced abortions by mother's age",
"last_update": "2025-03-21T11:00:00+0100"
},
{
"id": 518,
"dataset_name": "Abortion indicators",
"last_update": "2025-05-08T11:00:00+0200"
},
{
"id": 519,
"dataset_name": "Legally induced abortions by mother's age and number of previous live births",
"last_update": "2025-03-21T11:00:00+0100"
},
{
"id": 540,
"dataset_name": "Life expectancy by age and sex",
"last_update": "2025-09-11T11:00:00+0200"
},
{
"id": 545,
"dataset_name": "Divorces by duration of marriage (reached during the year)",
"last_update": "2025-04-09T23:00:00+0200"
},
{
"id": 546,
"dataset_name": "Divorce indicators",
"last_update": "2025-04-09T23:00:00+0200"
},
{
"id": 547,
"dataset_name": "Marriage indicators",
"last_update": "2025-07-09T11:00:00+0200"
},
{
"id": 548,
"dataset_name": "Marriages by sex and previous marital status",
"last_update": "2025-07-09T11:00:00+0200"
},
{
"id": 549,
"dataset_name": "Marriages by previous legal union status of bride and groom",
"last_update": "2025-07-09T11:00:00+0200"
},
{
"id": 550,
"dataset_name": "First-time marrying persons by age and sex",
"last_update": "2025-06-13T23:00:00+0200"
},
{
"id": 551,
"dataset_name": "First marriage rates by age and sex",
"last_update": "2025-06-13T23:00:00+0200"
},
{
"id": 565,
"dataset_name": "Population density by NUTS 3 region",
"last_update": "2025-04-02T23:00:00+0200"
},
{
"id": 580,
"dataset_name": "Life expectancy by age, sex and NUTS 2 region",
"last_update": "2025-06-05T11:00:00+0200"
},
{
"id": 792,
"dataset_name": "Low achieving 15-year-olds in reading, mathematics or science by sex",
"last_update": "2023-12-14T11:00:00+0100"
},
{
"id": 945,
"dataset_name": "Farm indicators by age and sex of the manager, economic size of the farm, utilised agricultural area and NUTS 2 region",
"last_update": "2024-03-26T23:00:00+0100"
},
{
"id": 960,
"dataset_name": "Export to import ratio",
"last_update": "2025-05-19T23:00:00+0200"
},
{
"id": 962,
"dataset_name": "Trade in goods with the top 5 partners",
"last_update": "2025-04-04T23:00:00+0200"
},
{
"id": 976,
"dataset_name": "Construction survey results - quarterly data",
"last_update": "2024-06-27T11:00:00+0200"
},
{
"id": 1256,
"dataset_name": "Generation of waste by waste category, hazardousness and NACE Rev. 2 activity",
"last_update": "2025-09-22T23:00:00+0200"
},
{
"id": 1266,
"dataset_name": "Treatment of waste by waste category, hazardousness and waste management operations",
"last_update": "2025-09-23T23:00:00+0200"
},
{
"id": 1267,
"dataset_name": "Annual freshwater abstraction by source and sector",
"last_update": "2025-08-04T23:00:00+0200"
},
{
"id": 1268,
"dataset_name": "Water use balance",
"last_update": "2025-08-04T23:00:00+0200"
},
{
"id": 1269,
"dataset_name": "Water use by supply category and economical sector",
"last_update": "2025-07-31T23:00:00+0200"
},
{
"id": 1270,
"dataset_name": "Water use in the manufacturing industry by activity and supply category",
"last_update": "2025-07-31T23:00:00+0200"
},
{
"id": 1274,
"dataset_name": "Water made available for use",
"last_update": "2025-08-04T23:00:00+0200"
},
{
"id": 1276,
"dataset_name": "Generation and discharge of wastewater by pollutant",
"last_update": "2025-07-31T23:00:00+0200"
},
{
"id": 1277,
"dataset_name": "Generation and discharge of wastewater in volume",
"last_update": "2025-07-31T23:00:00+0200"
},
{
"id": 1394,
"dataset_name": "Women who have experienced violence by any perpetrator, by age group",
"last_update": "2024-11-25T11:00:00+0100"
},
{
"id": 1395,
"dataset_name": "Women who have experienced violence by any perpetrator and consequences of violence",
"last_update": "2025-02-06T23:00:00+0100"
},
{
"id": 1396,
"dataset_name": "Women who have experienced violence by any perpetrator, by consequences and type of perpetrator",
"last_update": "2025-03-19T23:00:00+0100"
},
{
"id": 1397,
"dataset_name": "Women who have experienced violence by any perpetrator, by country of birth",
"last_update": "2024-11-25T11:00:00+0100"
},
{
"id": 1399,
"dataset_name": "Women who have experienced violence by any perpetrator, by level of education",
"last_update": "2024-11-25T11:00:00+0100"
},
{
"id": 1400,
"dataset_name": "Women who have experienced violence by any perpetrator, by type and frequency of violence",
"last_update": "2024-11-25T11:00:00+0100"
},
{
"id": 1401,
"dataset_name": "Women who have experienced violence by any perpetrator, by occurrence of injury",
"last_update": "2025-01-30T23:00:00+0100"
},
{
"id": 1402,
"dataset_name": "Women who have experienced violence by any perpetrator, by level of disability (activity limitation)",
"last_update": "2024-11-25T11:00:00+0100"
},
{
"id": 1404,
"dataset_name": "Women who have experienced violence by one or several types of perpetrators out of non-partner, current partner or former partner",
"last_update": "2025-01-30T23:00:00+0100"
},
{
"id": 1405,
"dataset_name": "Women who experienced repeated violence by any perpetrator, by duration of violence",
"last_update": "2025-01-30T23:00:00+0100"
},
{
"id": 1406,
"dataset_name": "Women who experienced repeated violence by any perpetrator, by periodicity of the violence",
"last_update": "2025-01-30T23:00:00+0100"
},
{
"id": 1407,
"dataset_name": "Women who have experienced violence by any perpetrator, by person/support service to whom violence was reported",
"last_update": "2024-11-25T11:00:00+0100"
},
{
"id": 1409,
"dataset_name": "Women as victims/non-victims of violence, by awareness of free legal aid",
"last_update": "2024-11-25T11:00:00+0100"
},
{
"id": 1410,
"dataset_name": "Women as victims/non-victims of violence, by awareness of the existence of support services",
"last_update": "2024-11-25T11:00:00+0100"
},
{
"id": 1411,
"dataset_name": "Women who have experienced sexual violence during childhood, by age group",
"last_update": "2024-11-25T11:00:00+0100"
},
{
"id": 1412,
"dataset_name": "Women who have experienced sexual violence during childhood, by type of perpetrator",
"last_update": "2024-11-25T11:00:00+0100"
},
{
"id": 1413,
"dataset_name": "Women who have experienced physical violence by parents during childhood, by type of perpetrator",
"last_update": "2025-01-30T23:00:00+0100"
},
{
"id": 1414,
"dataset_name": "Women who have experienced physical or psychological violence during childhood, by type of perpetrator",
"last_update": "2025-01-30T23:00:00+0100"
},
{
"id": 1415,
"dataset_name": "Women who have experienced psychological violence by parents during childhood, by type of perpetrator",
"last_update": "2025-01-30T23:00:00+0100"
},
{
"id": 1416,
"dataset_name": "Women who have experienced sexual violence during childhood, by person/support service to whom violence was reported",
"last_update": "2024-11-25T11:00:00+0100"
},
{
"id": 1417,
"dataset_name": "Women who have witnessed violence between parents during childhood, by type of perpetrator",
"last_update": "2025-01-30T23:00:00+0100"
},
{
"id": 1418,
"dataset_name": "Women who have experienced violence by a domestic perpetrator, by age group",
"last_update": "2024-11-25T11:00:00+0100"
},
{
"id": 1419,
"dataset_name": "Women who have experienced violence by a domestic perpetrator, by country of birth",
"last_update": "2024-11-25T11:00:00+0100"
}
],
"pagination": {
"total": 7693,
"hasMore": true,
"limit": 100,
"offset": 0
},
"_note": "Showing 100 of 7693 datasets for Montenegro. Use limit parameter to get more."
}How to use statistics API for Montenegro
1
Authenticate easily
Secure API keys give you instant access to millions of datasets for Montenegro.
2
Filter by country
Get data for Montenegro and over 150 other countries.
3
Integrate seamlessly
Bring live Montenegrin statistics into your apps, dashboards, or workflows in real time.
Key benefits
Save development time
Skip data cleaning — work with ready-to-use Montenegrin datasets.
Scale instantly
From one chart to millions of requests, our API grows with your product.
Stay accurate
All Montenegrin statistics come from verified, trusted sources.
Be flexible
Build custom apps, dashboards, and workflows with full control over Montenegrin data.
Why developers choose Monitly API
99.9%
Uptime for reliable apps
150+
Countries covered with live statistics
5M+
Total datasets ready to query and integrate
Montenegrin statistics API for every developer
Startups & companies
Automate reporting and enrich your analytics with live Montenegrin data.
Researchers
Query Montenegrin datasets and speed up your analysis.
Developers
Embed Montenegrin charts, power apps, or build data-driven products.
Agencies
Deliver client dashboards with statistics that update automatically.
Trusted by 25,000+ creators
Discover how Content Writer uses Monitly API to keep articles always fresh with live data.
See Case Study
Frequently Asked Questions
Build smarter with live Montenegrin data
No credit card required