Data from trusted sources
Eurostat
•
World Bank Data
•
OECD
•
UN Data
•
IMF
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": 214,
"dataset_name": "Hatcheries - hens, annual data",
"last_update": "2025-06-17T23:00:00+0200"
},
{
"id": 215,
"dataset_name": "Hatcheries - poultry other than hens - annual data",
"last_update": "2025-06-17T23:00:00+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": 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": 394,
"dataset_name": "Victims of trafficking in human beings by form of exploitation, sex and age",
"last_update": "2025-04-03T11:00:00+0200"
},
{
"id": 395,
"dataset_name": "Victims of trafficking in human beings by form of exploitation, sex and age",
"last_update": "2025-04-03T11:00:00+0200"
},
{
"id": 396,
"dataset_name": "Persons involved in trafficking in human beings by legal status and sex",
"last_update": "2025-04-03T11:00:00+0200"
},
{
"id": 397,
"dataset_name": "Persons involved in trafficking in human beings by legal status and sex",
"last_update": "2024-01-31T11:00:00+0100"
},
{
"id": 398,
"dataset_name": "Victims of trafficking in human beings by citizenship",
"last_update": "2025-04-03T11:00:00+0200"
},
{
"id": 399,
"dataset_name": "Victims of trafficking in human beings by citizenship",
"last_update": "2024-06-03T23:00:00+0200"
},
{
"id": 400,
"dataset_name": "Victims of trafficking in human beings by citizenship and sex",
"last_update": "2025-04-03T11:00:00+0200"
},
{
"id": 401,
"dataset_name": "Victims of trafficking in human beings by all forms of exploitation",
"last_update": "2025-04-03T11:00:00+0200"
},
{
"id": 402,
"dataset_name": "Victims of trafficking in human beings by sex and age",
"last_update": "2025-04-03T11:00:00+0200"
},
{
"id": 403,
"dataset_name": "Victims of trafficking in human beings by sex and age",
"last_update": "2025-04-03T11:00:00+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": 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": 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": 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": 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"
}
],
"pagination": {
"total": 9589,
"hasMore": true,
"limit": 100,
"offset": 0
},
"_note": "Showing 100 of 9589 datasets for Turkey. Use limit parameter to get more."
}How to use statistics API for Turkey
1
Authenticate easily
Secure API keys give you instant access to millions of datasets for Turkey.
2
Filter by country
Get data for Turkey and over 150 other countries.
3
Integrate seamlessly
Bring live Turkish statistics into your apps, dashboards, or workflows in real time.
Key benefits
Save development time
Skip data cleaning — work with ready-to-use Turkish datasets.
Scale instantly
From one chart to millions of requests, our API grows with your product.
Stay accurate
All Turkish statistics come from verified, trusted sources.
Be flexible
Build custom apps, dashboards, and workflows with full control over Turkish 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
Turkish statistics API for every developer
Startups & companies
Automate reporting and enrich your analytics with live Turkish data.
Researchers
Query Turkish datasets and speed up your analysis.
Developers
Embed Turkish 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 Turkish data
No credit card required