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Explore datasets for Turkey
Query thousands of Turkish statistics via Monitly API
GET
/api/datasets?country=TUR&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": 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": 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": 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": 392,
"dataset_name": "Suspects of migrant smuggling by citizenship",
"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": 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": 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": 855,
"dataset_name": "Financial aid to students by education level - as % of total public expenditure",
"last_update": "2025-08-07T23:00:00+0200"
},
{
"id": 856,
"dataset_name": "Total educational expenditure by education level, programme orientation and type of source",
"last_update": "2025-08-07T23:00:00+0200"
},
{
"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": 1206,
"dataset_name": "Employment in the environmental goods and services sector",
"last_update": "2025-06-05T11:00:00+0200"
},
{
"id": 1219,
"dataset_name": "Material flow accounts - main indicators",
"last_update": "2025-07-04T23:00:00+0200"
},
{
"id": 1220,
"dataset_name": "Material import dependency",
"last_update": "2025-07-04T23:00:00+0200"
},
{
"id": 1230,
"dataset_name": "Resource productivity",
"last_update": "2025-07-04T23:00:00+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": 1271,
"dataset_name": "Renewable freshwater resources - long term annual averages",
"last_update": "2025-08-01T23:00:00+0200"
},
{
"id": 1272,
"dataset_name": "Population connected to public water supply",
"last_update": "2025-07-31T23:00:00+0200"
},
{
"id": 1273,
"dataset_name": "Renewable freshwater resources",
"last_update": "2025-08-01T23:00:00+0200"
},
{
"id": 1274,
"dataset_name": "Water made available for use",
"last_update": "2025-08-04T23:00:00+0200"
},
{
"id": 1277,
"dataset_name": "Generation and discharge of wastewater in volume",
"last_update": "2025-07-31T23:00:00+0200"
},
{
"id": 1278,
"dataset_name": "Sewage sludge production and disposal",
"last_update": "2025-07-31T23:00:00+0200"
},
{
"id": 1566,
"dataset_name": "Inpatient curative care bed occupancy rate by type of care",
"last_update": "2025-07-15T11:00:00+0200"
},
{
"id": 1583,
"dataset_name": "Medical technologies - examinations by medical imaging techniques (CT, MRI and PET)",
"last_update": "2025-07-15T11:00:00+0200"
},
{
"id": 1588,
"dataset_name": "Adult intensive care units bed occupancy rate",
"last_update": "2025-07-15T23:00:00+0200"
},
{
"id": 1639,
"dataset_name": "Current depressive symptoms by level of disability (activity limitation), sex and age",
"last_update": "2023-10-24T23:00:00+0200"
},
{
"id": 1640,
"dataset_name": "Severity of current depressive symptoms by level of disability (activity limitation), sex and age",
"last_update": "2023-10-24T23:00:00+0200"
},
{
"id": 1641,
"dataset_name": "Time spent on health-enhancing (non-work-related) aerobic physical activity by sex, age and degree of urbanisation",
"last_update": "2023-08-01T23:00:00+0200"
},
{
"id": 1642,
"dataset_name": "Time spent on health-enhancing (non-work-related) aerobic physical activity by sex, age and degree of urbanisation",
"last_update": "2023-08-01T23:00:00+0200"
},
{
"id": 1643,
"dataset_name": "Performing health-enhancing physical activity by sex, age and country of birth",
"last_update": "2023-08-01T23:00:00+0200"
}
],
"pagination": {
"total": 9492,
"hasMore": true,
"limit": 100,
"offset": 0
},
"_note": "Showing 100 of 9492 datasets for Turkey. Use limit parameter to get more."
}How to use statistics API for Turkey
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