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Explore datasets for Morocco
Query thousands of Moroccan statistics via Monitly API
GET
/api/datasets?country=MAR&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": 1106,
"dataset_name": "Freight and mail air transport (including national transport) - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1107,
"dataset_name": "Number of airports - 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": 1109,
"dataset_name": "Commercial aircraft fleet by type of aircraft - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1110,
"dataset_name": "Balance of payments - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1111,
"dataset_name": "Direct investment balance with the rest of the world - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1112,
"dataset_name": "Gross external debt of the whole economy - 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": 1123,
"dataset_name": "Population (aged 20-24) who completed at least an upper secondary educational attainment level (ISCED 2011 level 3) by sex - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1125,
"dataset_name": "School completion rate at ISCED 1 level 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": 1127,
"dataset_name": "Net enrolment rates by sex and education level",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1129,
"dataset_name": "Literacy rate by sex and age group - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1130,
"dataset_name": "Gender parity index by 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": 1132,
"dataset_name": "Air pollutants - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1133,
"dataset_name": "Population served by municipal waste - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1134,
"dataset_name": "Generation of waste by households - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1137,
"dataset_name": "Treatment of municipal waste - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1138,
"dataset_name": "Annual freshwater abstraction by source - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1139,
"dataset_name": "Water use by economic activity - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1140,
"dataset_name": "Population connected to public water supply - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1141,
"dataset_name": "Population connected to wastewater collection and treatment systems - 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": 1143,
"dataset_name": "Aquaculture production by aquatic environment - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1144,
"dataset_name": "Fish catches by fishing areas - 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": 1146,
"dataset_name": "Total economy deficit/surplus - 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": 1148,
"dataset_name": "Gini coefficient - ENP-South countries",
"last_update": "2025-05-20T23:00:00+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": 1150,
"dataset_name": "Households with sustainable access to improved sanitation by simplified degree of urbanisation - 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": 1152,
"dataset_name": "Share of employment (persons aged 15 and over) by NACE Rev. 2 activity - 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": 1154,
"dataset_name": "Employment by professional status - 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": 1157,
"dataset_name": "Gender gap for long-term unemployment rate (aged 15-74) - 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": 1159,
"dataset_name": "Persons employed (aged 20-64) in the public and private sector - % of total employed persons, 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": 1162,
"dataset_name": "Number of ships of 1000 GT and over by type of vessel - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1163,
"dataset_name": "Number of ships of 300 GT and over - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1164,
"dataset_name": "Carrying capacity of merchant ships of 1000 GT and over by vessel type - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1165,
"dataset_name": "Gross weight of goods handled in all ports by direction - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1166,
"dataset_name": "Passengers embarked and disembarked (excluding cruises) in all ports by direction - 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": 1168,
"dataset_name": "Gross value added by industry - 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": 1173,
"dataset_name": "Energy balance - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1174,
"dataset_name": "Final energy consumption by sector",
"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": 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": 1184,
"dataset_name": "Total area - 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": 1186,
"dataset_name": "Road freight transport - 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": 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": 1191,
"dataset_name": "Departures of residents going abroad for all holidays and business - ENP-South countries",
"last_update": "2025-05-12T23:00:00+0200"
},
{
"id": 1192,
"dataset_name": "Arrivals at tourism accommodation establishments by type of 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": 6775,
"dataset_name": "Persons aged 15 to 29 years with adequate housing (% of persons aged 15 to 29 years with disability i.e. at least a lot of functional difficulty)",
"last_update": "2025-03-28"
},
{
"id": 6776,
"dataset_name": "Persons aged 30 to 44 years with adequate housing (% of persons aged 30 to 44 years with disability i.e. at least a lot of functional difficulty)",
"last_update": "2025-03-28"
},
{
"id": 6777,
"dataset_name": "Persons aged 45 to 64 years with adequate housing (% of persons aged 45 to 64 years with disability i.e. at least a lot of functional difficulty)",
"last_update": "2025-03-28"
}
],
"pagination": {
"total": 10295,
"hasMore": true,
"limit": 100,
"offset": 0
},
"_note": "Showing 100 of 10295 datasets for Morocco. Use limit parameter to get more."
}How to use statistics API for Morocco
1
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Secure API keys give you instant access to millions of datasets for Morocco.
2
Filter by country
Get data for Morocco and over 150 other countries.
3
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Bring live Moroccan statistics into your apps, dashboards, or workflows in real time.
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