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Explore datasets for Libya
Query thousands of Libyan statistics via Monitly API
GET
/api/datasets?country=LBY&limit=100{
"data": [
{
"id": 1103,
"dataset_name": "Crop production - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1104,
"dataset_name": "Livestock - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1105,
"dataset_name": "Meat production - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1108,
"dataset_name": "Air passenger transport - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1113,
"dataset_name": "Consumer price index - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1114,
"dataset_name": "Population density - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1115,
"dataset_name": "Fertility rate - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1116,
"dataset_name": "Crude rate of birth, of dead and of population change - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1117,
"dataset_name": "Infant mortality rate by sex - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1118,
"dataset_name": "Life expectancy at birth by sex - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1119,
"dataset_name": "Mean age at first marriage by sex - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1120,
"dataset_name": "Population on 1 January by sex and age group - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1121,
"dataset_name": "Average population mid-year by sex and age group - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1122,
"dataset_name": "Mortality rate (under age 5) by sex - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1126,
"dataset_name": "Net enrolment rates by sex and education level - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1131,
"dataset_name": "Main farm land use - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1142,
"dataset_name": "Trade value in goods by SITC product group - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1145,
"dataset_name": "Government deficit/surplus and debt - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1147,
"dataset_name": "Income quintile share ratio - S80/S20 - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1149,
"dataset_name": "Poverty headcount ratio by sex (proportion of persons below the national poverty line) - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1151,
"dataset_name": "Households with access to secure tenure by simplified degree of urbanisation - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1153,
"dataset_name": "Activity rates (aged 15-64) by sex - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1155,
"dataset_name": "Employment rates (aged 15-64) by sex - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1156,
"dataset_name": "Gender gap for unemployment rate (aged 25-74) - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1158,
"dataset_name": "Total employment by age group - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1160,
"dataset_name": "Unemployment rates by sex and age - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1161,
"dataset_name": "Long-term unemployment rates by sex – ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1167,
"dataset_name": "Number of principal ports - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1169,
"dataset_name": "Gross domestic product at market prices - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1170,
"dataset_name": "Gross domestic product at market prices by expenditure - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1171,
"dataset_name": "Gross domestic product (GDP) per capita - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1172,
"dataset_name": "External balance of goods and services - % per GDP, ENP-South countries",
"last_update": "2025-09-23T23:00:00+0200"
},
{
"id": 1173,
"dataset_name": "Energy balance - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1175,
"dataset_name": "Gross inland consumption of energy - ENP-Sounth countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1176,
"dataset_name": "Net imports of energy products - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1177,
"dataset_name": "Primary production by energy source - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1178,
"dataset_name": "Electricity and gas prices for households - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1180,
"dataset_name": "Number of railway vehicles per type - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1181,
"dataset_name": "Rail freight traffic - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1182,
"dataset_name": "Length of rail network - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1183,
"dataset_name": "Rail passenger traffic - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1185,
"dataset_name": "Stock of vehicles by category - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1187,
"dataset_name": "Length of roads network - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1188,
"dataset_name": "Arrivals of tourists at the border - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1189,
"dataset_name": "Tourism infrastructure - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1190,
"dataset_name": "Bed places in hotels and similar accommodation - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1193,
"dataset_name": "Nights spent at tourism accommodation establishments - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1194,
"dataset_name": "Persons killed in road accidents - ENP-South countries",
"last_update": "2025-05-12T23:00:00+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": 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"
},
{
"id": 8194,
"dataset_name": "CPI Price, % y-o-y, nominal, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 8233,
"dataset_name": "Imports Merchandise, Customs, current US$, millions",
"last_update": "2025-11-13"
},
{
"id": 8234,
"dataset_name": "Imports Merchandise, Customs, constant US$, millions",
"last_update": "2025-11-13"
},
{
"id": 8236,
"dataset_name": "Imports Merchandise, Customs, current US$, millions, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 8237,
"dataset_name": "Imports Merchandise, Customs, constant US$, millions, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 8238,
"dataset_name": "Imports Merchandise, Customs, Price, US$, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 8803,
"dataset_name": "Official exchange rate, LCU per USD, period average",
"last_update": "2025-11-13"
},
{
"id": 8804,
"dataset_name": "Exchange rate, new LCU per USD extended backward, period average",
"last_update": "2025-11-13"
},
{
"id": 8805,
"dataset_name": "Exchange rate, old LCU per USD extended forward, period average",
"last_update": "2025-11-13"
},
{
"id": 8806,
"dataset_name": "Stock Markets, US$",
"last_update": "2025-11-13"
},
{
"id": 10945,
"dataset_name": "Exports Merchandise, Customs, current US$, millions",
"last_update": "2025-11-13"
},
{
"id": 10946,
"dataset_name": "Exports Merchandise, Customs, constant US$, millions",
"last_update": "2025-11-13"
},
{
"id": 10948,
"dataset_name": "Exports Merchandise, Customs, current US$, millions, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 10949,
"dataset_name": "Exports Merchandise, Customs, constant US$, millions, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 10950,
"dataset_name": "Exports Merchandise, Customs, Price, US$, seas. adj.",
"last_update": "2025-11-13"
},
{
"id": 11280,
"dataset_name": "No account because financial institutions are too far away (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11281,
"dataset_name": "No account because financial institutions are too far away (% without an account, age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11282,
"dataset_name": "No account because financial services are too expensive (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11283,
"dataset_name": "No account because financial services are too expensive (% without an account, age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11284,
"dataset_name": "No account because of a lack of necessary documentation (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11285,
"dataset_name": "No account because of a lack of trust in financial institutions (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11286,
"dataset_name": "No account because of a lack of trust in financial institutions (% without an account, age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11287,
"dataset_name": "No account because of religious reasons (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11288,
"dataset_name": "No account because of religious reasons (% without an account, age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11289,
"dataset_name": "No account because of insufficient funds (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11290,
"dataset_name": "No account because of insufficient funds (% without an account, age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11291,
"dataset_name": "Saved at a financial institution or using a mobile money account (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11292,
"dataset_name": "Saved at a financial institution or using a mobile money account, female (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11293,
"dataset_name": "Saved at a financial institution or using a mobile money account, urban (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11294,
"dataset_name": "Saved at a financial institution or using a mobile money account, out of labor force (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11295,
"dataset_name": "Saved at a financial institution or using a mobile money account, in labor force (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11296,
"dataset_name": "Saved at a financial institution or using a mobile money account, male (% age 15+)",
"last_update": "2025-10-06"
},
{
"id": 11297,
"dataset_name": "Saved at a financial institution or using a mobile money account, young (% ages 15-24)",
"last_update": "2025-10-06"
},
{
"id": 11298,
"dataset_name": "Saved at a financial institution or using a mobile money account, older (% age 25+)",
"last_update": "2025-10-06"
}
],
"pagination": {
"total": 3770,
"hasMore": true,
"limit": 100,
"offset": 0
},
"_note": "Showing 100 of 3770 datasets for Libya. Use limit parameter to get more."
}How to use statistics API for Libya
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