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Explore datasets for Belarus
Query thousands of Belarusian statistics via Monitly API
GET
/api/datasets?country=BLR&limit=100{
"data": [
{
"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": 522,
"dataset_name": "Live births by mother's age and educational attainment level",
"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": 1024,
"dataset_name": "Direct investment balance with the rest of the world, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1025,
"dataset_name": "Gross external debt of the whole economy, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1026,
"dataset_name": "Gross external debt of the whole economy, relative to exports of goods and services, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1028,
"dataset_name": "Population density on 1 January, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1030,
"dataset_name": "Early leavers from education and training (aged 18-24) by sex, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1043,
"dataset_name": "Government deficit/surplus and debt, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1044,
"dataset_name": "Health care expenditure - % of GDP, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1045,
"dataset_name": "Median equivalised net income - EUR per person, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1046,
"dataset_name": "Income quintile share ratio - S80/S20, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1047,
"dataset_name": "Gini coefficient, ENP-East countries",
"last_update": "2025-05-20T23:00:00+0200"
},
{
"id": 1048,
"dataset_name": "Relative poverty threshold after social transfers, income per month, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1049,
"dataset_name": "Proportion of persons at risk of relative poverty, before social transfers by sex, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1050,
"dataset_name": "Proportion of persons at risk of relative poverty (after transfers), ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1051,
"dataset_name": "Loan and deposit one year interest rate, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1052,
"dataset_name": "Government bond yields - 10 years' maturity, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1053,
"dataset_name": "Money market interest rates, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1054,
"dataset_name": "Enterprises having a website or homepage - % of total enteprises, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1055,
"dataset_name": "Enterprises using computers - % of total enteprises, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1056,
"dataset_name": "Frequency of internet use by individuals (aged 16-74), ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1057,
"dataset_name": "Enterprises with internet access - % of total enteprises, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1058,
"dataset_name": "Percentage of households having internet access at home, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1059,
"dataset_name": "Internet penetration by type of internet - per 100 persons, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1060,
"dataset_name": "Fixed telephone line and mobile phone penetration rate, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1061,
"dataset_name": "Proportion of youths and adults (aged 16-74) by type of ICT skills, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1062,
"dataset_name": "Share of employed persons (aged 15 and over) by economic activity (NACE Rev.2), ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1063,
"dataset_name": "Activity rates by sex and age, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1064,
"dataset_name": "Employment and employment rates (aged 20-64) by sex, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1065,
"dataset_name": "Unemployment rates by sex and age, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1066,
"dataset_name": "Long-term unemployment rates by sex, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1068,
"dataset_name": "Money supply and official reserves, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1069,
"dataset_name": "Gross value added by industry, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1070,
"dataset_name": "Gross domestic product at market prices, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1071,
"dataset_name": "Gross domestic product at market prices by expenditure, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1072,
"dataset_name": "Labour productivity in GDP (constant prices) per person employed, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1074,
"dataset_name": "Nominal unit labour cost growth, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1079,
"dataset_name": "Primary production by source of energy, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1080,
"dataset_name": "Electricity and gas prices for households, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1082,
"dataset_name": "Share of renewable energy in gross final energy consumption, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1083,
"dataset_name": "Goods transported by rail, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1084,
"dataset_name": "Length of rail lines, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1086,
"dataset_name": "Gross domestic expenditure on R&D (GERD) by source of funding, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1088,
"dataset_name": "Total area, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1089,
"dataset_name": "Passenger cars, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1090,
"dataset_name": "Road freight transport, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1091,
"dataset_name": "Length of roads network, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1092,
"dataset_name": "Passenger road transport, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1093,
"dataset_name": "Social protection expenditure excluding administrative costs (including health expenditure) - % of GDP, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1094,
"dataset_name": "Industrial and construction production volume index - calendar adjusted, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1095,
"dataset_name": "Domestic industrial production price index, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1096,
"dataset_name": "Persons employed within the non-financial business economy by size class, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1098,
"dataset_name": "Retail trade volume of sales index (deflated turnover), ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1099,
"dataset_name": "Number of bed places in hotels and similar accomodation, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1100,
"dataset_name": "Departures of residents going abroad for all holidays and business, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1101,
"dataset_name": "Arrivals of non-residents at hotels and similar accomodation establishments, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 1102,
"dataset_name": "Average nominal monthly wages and salaries, ENP-East countries",
"last_update": "2025-04-15T23:00:00+0200"
},
{
"id": 5492,
"dataset_name": "Marriages by citizenship of bride and groom",
"last_update": "2025-07-09T11:00:00+0200"
},
{
"id": 5496,
"dataset_name": "Late foetal deaths by mother's age",
"last_update": "2025-07-16T23:00:00+0200"
},
{
"id": 6762,
"dataset_name": "Account (% age 15+)",
"last_update": "2025-07-31"
},
{
"id": 6763,
"dataset_name": "Account, female (% age 15+)",
"last_update": "2025-07-31"
},
{
"id": 6764,
"dataset_name": "Account, urban (% age 15+)",
"last_update": "2025-07-31"
},
{
"id": 6765,
"dataset_name": "Account, out of labor force (% age 15+)",
"last_update": "2025-07-31"
},
{
"id": 6766,
"dataset_name": "Account, in labor force (% age 15+)",
"last_update": "2025-07-31"
},
{
"id": 6767,
"dataset_name": "Account, male (% age 15+)",
"last_update": "2025-07-31"
},
{
"id": 6768,
"dataset_name": "Account, young (% ages 15-24)",
"last_update": "2025-07-31"
},
{
"id": 6769,
"dataset_name": "Account, older (% age 25+)",
"last_update": "2025-07-31"
},
{
"id": 6770,
"dataset_name": "Account, primary education or less (% ages 15+)",
"last_update": "2025-07-31"
},
{
"id": 6771,
"dataset_name": "Account, secondary education or more (% ages 15+)",
"last_update": "2025-07-31"
},
{
"id": 6772,
"dataset_name": "Account, income, poorest 40% (% ages 15+)",
"last_update": "2025-07-31"
},
{
"id": 6773,
"dataset_name": "Account, income, richest 60% (% ages 15+)",
"last_update": "2025-07-31"
},
{
"id": 6774,
"dataset_name": "Account, rural (% age 15+)",
"last_update": "2025-07-31"
},
{
"id": 7725,
"dataset_name": "Core Public Administration workers, as a share of public formal employees",
"last_update": "2025-02-24"
},
{
"id": 7801,
"dataset_name": "Sample size",
"last_update": "2025-02-24"
},
{
"id": 7804,
"dataset_name": "Median age of public paid employees, by industry: Education",
"last_update": "2025-02-24"
},
{
"id": 7899,
"dataset_name": "Females, as a share of public paid employees by industry: Public Safety",
"last_update": "2025-02-24"
},
{
"id": 7931,
"dataset_name": "Number of paid employees, by industry: Public Safety",
"last_update": "2025-02-24"
},
{
"id": 8189,
"dataset_name": "Core CPI,not seas.adj,,,",
"last_update": "2025-11-13"
},
{
"id": 8190,
"dataset_name": "Core CPI,seas.adj,,,",
"last_update": "2025-11-13"
},
{
"id": 8191,
"dataset_name": "CPI Price, nominal",
"last_update": "2025-11-13"
},
{
"id": 8192,
"dataset_name": "CPI Price, % y-o-y, median weighted, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 8193,
"dataset_name": "CPI Price, nominal, seas. adj.",
"last_update": "2025-11-13"
}
],
"pagination": {
"total": 8765,
"hasMore": true,
"limit": 100,
"offset": 0
},
"_note": "Showing 100 of 8765 datasets for Belarus. Use limit parameter to get more."
}How to use statistics API for Belarus
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