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Explore datasets for North Macedonia
Query thousands of North Macedonia statistics via Monitly API
GET
/api/datasets?country=MKD&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": 216,
"dataset_name": "Cows'milk collection and products obtained - annual data",
"last_update": "2025-09-18T23:00:00+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": 236,
"dataset_name": "Commercial aircraft fleet by aircraft category and country of operator",
"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": 257,
"dataset_name": "Business demography by legal form and NACE Rev. 2 activity (2004-2020)",
"last_update": "2024-01-10T23:00:00+0100"
},
{
"id": 258,
"dataset_name": "Business demography by legal form and NACE Rev. 2 activity (2004-2020)",
"last_update": "2024-01-10T23:00:00+0100"
},
{
"id": 259,
"dataset_name": "Business demography by size class and NACE Rev. 2 activity (2004-2020)",
"last_update": "2024-01-10T23:00:00+0100"
},
{
"id": 260,
"dataset_name": "Business demography by size class and NACE Rev. 2 activity (2004-2020)",
"last_update": "2024-01-10T23:00:00+0100"
},
{
"id": 261,
"dataset_name": "Business demography by size class and NACE Rev. 2 activity (2004-2020)",
"last_update": "2024-01-10T23:00:00+0100"
},
{
"id": 262,
"dataset_name": "Employer business demography by legal form and NACE Rev. 2 activity (2004-2020)",
"last_update": "2024-01-10T23:00:00+0100"
},
{
"id": 263,
"dataset_name": "Employer business demography by legal form and NACE Rev. 2 activity (2004-2020)",
"last_update": "2024-01-10T23:00:00+0100"
},
{
"id": 264,
"dataset_name": "Employer business demography by size class and NACE Rev. 2 activity (2004-2020)",
"last_update": "2024-01-10T23:00:00+0100"
},
{
"id": 265,
"dataset_name": "Employer business demography by size class and NACE Rev. 2 activity (2004-2020)",
"last_update": "2024-01-10T23:00:00+0100"
},
{
"id": 266,
"dataset_name": "High growth enterprises (growth by 10% or more) and related employment by NACE Rev. 2 (2008-2020)",
"last_update": "2025-01-03T23:00:00+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": 370,
"dataset_name": "Persons brought before criminal courts by legal status of the court process",
"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": 391,
"dataset_name": "Prisoners by legal status of the trial process",
"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": 409,
"dataset_name": "Cultural employment by NUTS 2 region",
"last_update": "2025-09-02T11:00:00+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": 520,
"dataset_name": "Live births by mother's age and country of birth",
"last_update": "2025-09-16T23:00:00+0200"
},
{
"id": 521,
"dataset_name": "Live births by mother's age and citizenship",
"last_update": "2025-08-25T23:00:00+0200"
},
{
"id": 522,
"dataset_name": "Live births by mother's age and educational attainment level",
"last_update": "2025-03-18T23:00:00+0100"
},
{
"id": 523,
"dataset_name": "Live births by mother's age and activity status",
"last_update": "2025-03-18T23:00:00+0100"
},
{
"id": 524,
"dataset_name": "Live births by mother's age and legal marital status",
"last_update": "2025-05-13T23:00:00+0200"
},
{
"id": 525,
"dataset_name": "Live births by mother's year of birth (age reached) and legal marital status",
"last_update": "2025-05-13T23:00:00+0200"
},
{
"id": 526,
"dataset_name": "Live births by mother's age and newborn's sex",
"last_update": "2025-03-18T23:00:00+0100"
},
{
"id": 527,
"dataset_name": "Fertility indicators",
"last_update": "2025-10-01T23:00:00+0200"
},
{
"id": 528,
"dataset_name": "Live births (total) by month",
"last_update": "2025-05-15T23:00:00+0200"
},
{
"id": 529,
"dataset_name": "Live births by mother's age and birth order",
"last_update": "2025-04-01T23:00:00+0200"
},
{
"id": 530,
"dataset_name": "Live births by mother's year of birth (age reached) and birth order",
"last_update": "2025-04-01T23:00:00+0200"
},
{
"id": 531,
"dataset_name": "Fertility rates by age",
"last_update": "2025-10-01T23:00:00+0200"
},
{
"id": 532,
"dataset_name": "Live births by birth weight and duration of gestation",
"last_update": "2025-03-18T23:00:00+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": 563,
"dataset_name": "Live births (total) by NUTS 3 region",
"last_update": "2025-04-01T23:00:00+0200"
},
{
"id": 565,
"dataset_name": "Population density by NUTS 3 region",
"last_update": "2025-04-02T23:00:00+0200"
},
{
"id": 567,
"dataset_name": "Live births by mother's age and NUTS 2 region",
"last_update": "2025-04-01T23:00:00+0200"
},
{
"id": 568,
"dataset_name": "Live births by age group of the mothers and NUTS 3 region",
"last_update": "2025-03-07T11:00:00+0100"
},
{
"id": 569,
"dataset_name": "Fertility indicators by NUTS 2 region",
"last_update": "2025-10-01T23:00:00+0200"
},
{
"id": 570,
"dataset_name": "Fertility indicators by NUTS 3 region",
"last_update": "2025-10-01T23:00:00+0200"
},
{
"id": 572,
"dataset_name": "Fertility rates by age and NUTS 2 region",
"last_update": "2025-10-01T23:00:00+0200"
},
{
"id": 580,
"dataset_name": "Life expectancy by age, sex and NUTS 2 region",
"last_update": "2025-06-05T11:00:00+0200"
},
{
"id": 622,
"dataset_name": "Gender pay gap in unadjusted form by NACE Rev. 2 activity - structure of earnings survey methodology",
"last_update": "2025-02-25T11:00:00+0100"
},
{
"id": 623,
"dataset_name": "Gender pay gap in unadjusted form by age - NACE Rev. 2 activity (B-S except O), structure of earnings survey methodology",
"last_update": "2025-02-21T23:00:00+0100"
},
{
"id": 625,
"dataset_name": "Gender pay gap in unadjusted form by working time - NACE Rev. 2 activity (B-S except O), structure of earnings survey methodology",
"last_update": "2025-02-21T23:00:00+0100"
},
{
"id": 627,
"dataset_name": "Monthly minimum wages - bi-annual data",
"last_update": "2025-08-12T23:00:00+0200"
},
{
"id": 692,
"dataset_name": "Structure of earnings survey: monthly earnings",
"last_update": "2022-03-04T11:00:00+0100"
},
{
"id": 693,
"dataset_name": "Low-wage earners as a proportion of all employees (excluding apprentices) by age",
"last_update": "2025-02-12T23:00:00+0100"
},
{
"id": 694,
"dataset_name": "Low-wage earners as a proportion of all employees (excluding apprentices) by age",
"last_update": "2021-08-04T23:00:00+0200"
},
{
"id": 695,
"dataset_name": "Low-wage earners as a proportion of all employees (excluding apprentices) by age",
"last_update": "2021-08-04T23:00:00+0200"
},
{
"id": 696,
"dataset_name": "Low-wage earners as a proportion of all employees (excluding apprentices) by educational attainment level",
"last_update": "2025-02-11T23:00:00+0100"
},
{
"id": 697,
"dataset_name": "Low-wage earners as a proportion of all employees (excluding apprentices) by educational attainment level",
"last_update": "2021-10-14T23:00:00+0200"
},
{
"id": 698,
"dataset_name": "Low-wage earners as a proportion of all employees (excluding apprentices) by economic activity",
"last_update": "2025-02-12T23:00:00+0100"
},
{
"id": 699,
"dataset_name": "Low-wage earners as a proportion of all employees (excluding apprentices) by sex",
"last_update": "2025-02-12T23:00:00+0100"
},
{
"id": 700,
"dataset_name": "Low-wage earners as a proportion of all employees (excluding apprentices) by sex",
"last_update": "2021-08-04T23:00:00+0200"
},
{
"id": 701,
"dataset_name": "Low-wage earners as a proportion of all employees (excluding apprentices) by sex",
"last_update": "2021-08-04T23:00:00+0200"
}
],
"pagination": {
"total": 5816,
"hasMore": true,
"limit": 100,
"offset": 0
},
"_note": "Showing 100 of 5816 datasets for North Macedonia. Use limit parameter to get more."
}How to use statistics API for North Macedonia
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