--- license: odbl language: - en task_categories: - tabular-classification - tabular-regression multilinguality: monolingual size_categories: - n<1K tags: - tabular - xlsx - africa - morocco - official-statistics - open-data pretty_name: "Ventilation du crédit bancaire par secteur institutionnel (déc-2001 à sept-2023) | Africa (Morocco official open data)" --- # Ventilation du crédit bancaire par secteur institutionnel (déc-2001 à sept-2023) | Africa (Morocco official open data) 16 rows - 1 Africa country - not-applicable - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica) ![rows](https://img.shields.io/badge/rows-16-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![years](https://img.shields.io/badge/years-not-applicable-orange) ![indicators](https://img.shields.io/badge/indicators-0-purple) ![license](https://img.shields.io/badge/license-odbl-lightgrey) ## TL;DR This dataset packages one official `XLSX` resource from **Morocco** as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo. ## About the source - **Source:** [Ventilation du crédit bancaire par secteur institutionnel (déc-2001 à sept-2023)](https://data.gov.ma/data/dataset/ventilation-du-credit-bancaire-par-secteur-institutionnel-dec-2001-a-sept-2023) - **Publisher:** Bank Al-Maghrib - **Resource:** [13- Ventilation du crédit bancaire par secteur institutionnel déc 2001 - sept 2023.xlsx](https://data.gov.ma/data/fr/dataset/5feb00aa-b57f-411c-8cfc-b04b77a28f3f/resource/1b1e37e8-b791-4234-aaa7-002b099f54d4/download/13-ventilation-du-credit-bancaire-par-secteur-institutionnel-dec-2001-sept-2023.xlsx) - **Format:** `XLSX` - **License:** [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/) - **Packaging mode:** `tabular_resource` ## Geographic coverage 1 Africa country: | Country | Rows | First year | Last year | Name | |---------|-----:|-----------:|----------:|------| | `MAR` | 16 | n/a | n/a | `Morocco` | ## Indicators or Resource Contents - This source file is packaged as a normalized tabular resource. ## Schema | Column | Type | Description | Example | |--------|------|-------------|---------| | `source_record_id` | `string` | Stable row identifier for tabular resources. | `1b1e37e8-b791-4234-aaa7-002b099f54d4:feuil1:0` | | `country_iso3` | `string` | ISO3 country code. | `MAR` | | `country_name` | `string` | Country name. | `Morocco` | | `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `Feuil1` | | `credit_bancaire` | `string` | Source column. | `Secteur public hors AC` | | `d_204873_14715792876` | `float64` | Source column. | `6679.086597329887` | | `d_203701_598740816` | `float64` | Source column. | `6196.962605591229` | | `d_205570_75409530365` | `float64` | Source column. | `6174.061203563313` | | `d_202935_32246103018` | `float64` | Source column. | `5372.080023207594` | | `d_204003_76957149972` | `float64` | Source column. | `5476.477763073914` | | `d_204600_32102985732` | `float64` | Source column. | `6066.444407685785` | | `d_208367_85338134042` | `float64` | Source column. | `7650.35457164412` | | `d_209531_24885559085` | `float64` | Source column. | `7783.807778662079` | | `d_209979_00925776738` | `float64` | Source column. | `7658.330501865399` | | `d_209571_5949719436` | `float64` | Source column. | `7561.459804074251` | | `d_210055_2975449044` | `float64` | Source column. | `7170.824114190233` | | `d_211819_71918430668` | `float64` | Source column. | `7281.521940884077` | | `d_211091_98513533967` | `float64` | Source column. | `6870.567858123668` | | `d_212033_99653300032` | `float64` | Source column. | `6076.8598217402905` | | `d_212835_76997687732` | `float64` | Source column. | `6719.652321843683` | | `d_214990_84056943413` | `float64` | Source column. | `7537.790096724741` | | `d_218602_38537098223` | `float64` | Source column. | `8476.216443331758` | | `d_221099_62017536192` | `float64` | Source column. | `8500.213840696699` | | `d_221414_5708894878` | `float64` | Source column. | `8122.598978027081` | | `d_224617_4700542899` | `float64` | Source column. | `8163.058476439748` | | `d_225020_67627014947` | `float64` | Source column. | `7622.225523780786` | | `d_222264_61115298493` | `float64` | Source column. | `7717.1065139318835` | | `d_225443_9796165615` | `float64` | Source column. | `7906.749012223519` | | `d_224399_1486550427` | `float64` | Source column. | `7793.908914687192` | | `d_224368_79780255057` | `float64` | Source column. | `7187.733887108956` | | `d_223414_96948603724` | `float64` | Source column. | `7316.836742229326` | | `d_226516_81439054298` | `float64` | Source column. | `7272.922223185464` | | `d_225768_10752349286` | `float64` | Source column. | `6319.572327090072` | | `d_229751_19665293698` | `float64` | Source column. | `6724.921024098155` | | `d_229098_07665121218` | `float64` | Source column. | `6830.743915589537` | | `d_236032_52430973336` | `float64` | Source column. | `9179.164221470408` | | `d_238044_31725067447` | `float64` | Source column. | `9343.921617982904` | | `d_237775_75161965447` | `float64` | Source column. | `12797.25148972508` | | `d_238465_14809553488` | `float64` | Source column. | `12414.32752287601` | | `d_238902_11161749013` | `float64` | Source column. | `12678.213052148236` | | `d_239177_90190885725` | `float64` | Source column. | `12070.319130141965` | | `d_241512_96114820056` | `float64` | Source column. | `7978.197431425296` | | `d_245830_88722395015` | `float64` | Source column. | `10773.570184194825` | | `d_248072_56969383545` | `float64` | Source column. | `9211.141792436098` | | `d_249451_0589042597` | `float64` | Source column. | `8701.29819255722` | | `d_260717_27807955007` | `float64` | Source column. | `9483.86943385144` | | `d_263636_88625310804` | `float64` | Source column. | `8250.630077492442` | | `d_268063_4597550205` | `float64` | Source column. | `6543.089841801108` | | `d_270606_813460027` | `float64` | Source column. | `6954.517262505628` | | `d_269906_9010562797` | `float64` | Source column. | `7137.4274991884895` | | `d_273656_8233914077` | `float64` | Source column. | `8276.379171378969` | | `d_274686_17152824934` | `float64` | Source column. | `7073.724145741791` | | `d_274968_47348598106` | `float64` | Source column. | `6474.431206794799` | | `d_270757_72188312176` | `float64` | Source column. | `7750.065249389763` | | `d_270385_9529489205` | `float64` | Source column. | `8001.734348879161` | | `d_272257_5682622508` | `float64` | Source column. | `8499.708715111417` | | `d_275190_22469175747` | `float64` | Source column. | `8692.739141770791` | | `d_274307_102877526` | `float64` | Source column. | `8992.54098879818` | | `d_272513_94299203315` | `float64` | Source column. | `9095.993067393636` | | `d_285039_7389567159` | `float64` | Source column. | `10558.114217190589` | | `d_294294_60682673287` | `float64` | Source column. | `10002.380239159733` | | `d_296103_1189606355` | `float64` | Source column. | `9618.345939294864` | | `d_299832_6639334895` | `float64` | Source column. | `9322.34230160284` | | `d_307585_0192214445` | `float64` | Source column. | `12646.792456491592` | | `d_314393_29620496044` | `float64` | Source column. | `12198.43908365303` | | `d_325582_38783240214` | `float64` | Source column. | `11502.246970879683` | | `d_326294_68208077736` | `float64` | Source column. | `11437.237612199318` | | `d_336903_7079179122` | `float64` | Source column. | `11854.922256973943` | | `d_339962_7005796462` | `float64` | Source column. | `9944.280296531117` | | `d_348334_50015553273` | `float64` | Source column. | `10926.620661719` | | `d_359167_58798132336` | `float64` | Source column. | `10371.064212270216` | | `d_365914_2785936753` | `float64` | Source column. | `9951.523685285338` | | `d_377225_2988304603` | `float64` | Source column. | `10344.204444424611` | | `d_379022_39751678647` | `float64` | Source column. | `10888.79472115947` | | `d_389612_3302976743` | `float64` | Source column. | `11155.154563438611` | | `d_400147_283380108` | `float64` | Source column. | `10917.845631174469` | | `d_406173_65178828605` | `float64` | Source column. | `11720.723941201535` | | `d_424406_1244045051` | `float64` | Source column. | `12923.557398060646` | | `d_429800_96602686425` | `float64` | Source column. | `13176.594310783828` | | `d_434170_5469194123` | `float64` | Source column. | `14490.63636849138` | | `d_436559_19642366923` | `float64` | Source column. | `10798.254877658685` | | `d_447621_6850380498` | `float64` | Source column. | `11996.55374302421` | | `d_454882_641187103` | `float64` | Source column. | `10540.050675317922` | | `d_471566_1741986606` | `float64` | Source column. | `11627.876455457304` | | `d_475640_2996894176` | `float64` | Source column. | `12233.350044442504` | | `d_480101_7626482356` | `float64` | Source column. | `12793.450484448089` | | `d_490144_88151335507` | `float64` | Source column. | `10212.085217989898` | | `d_505872_0980515323` | `float64` | Source column. | `20920.650942258` | | `d_510429_9431518902` | `float64` | Source column. | `17221.51460303257` | | `d_526189_5434781214` | `float64` | Source column. | `24897.16974615476` | | `d_519920_5103823484` | `float64` | Source column. | `24099.989435827665` | | `d_525557_1667129262` | `float64` | Source column. | `25147.06987122424` | | `d_528674_7824555871` | `float64` | Source column. | `22092.7208389224` | | `d_532444_6695502031` | `float64` | Source column. | `20445.79442054205` | | `d_534047_4229721075` | `float64` | Source column. | `21731.996435351557` | | `d_549606_7750775376` | `float64` | Source column. | `23431.2983410891` | | `d_558015_0635342234` | `float64` | Source column. | `25908.836208218392` | | `d_558406_9754781601` | `float64` | Source column. | `24115.281941562404` | | `d_564019_4083558065` | `float64` | Source column. | `34402.24056449403` | | `d_562910_152638519` | `float64` | Source column. | `34668.48680993458` | | `d_567571_9610485502` | `float64` | Source column. | `34693.39818328575` | | `d_577083_8207342295` | `float64` | Source column. | `33875.10168229739` | | `d_580962_667253757` | `float64` | Source column. | `32688.019469310013` | | `d_586028_1697964362` | `float64` | Source column. | `29230.39136845112` | | `d_592473_5634511354` | `float64` | Source column. | `30642.37116676033` | | `d_594519_9451405383` | `float64` | Source column. | `28398.62377654312` | | `d_604197_4355520646` | `float64` | Source column. | `29024.47064543005` | | `d_618894_8476173659` | `float64` | Source column. | `28875.83015145846` | | `d_615047_9401246993` | `float64` | Source column. | `29292.33291725184` | | `d_616050_6460696189` | `float64` | Source column. | `28992.820372434213` | | `d_620386_3121415083` | `float64` | Source column. | `28478.08498794225` | | `d_621197_5188527277` | `float64` | Source column. | `28390.94979814193` | | `d_623765_0357748107` | `float64` | Source column. | `29470.358464780675` | | `d_621485_7010138854` | `float64` | Source column. | `25082.384858818925` | | `d_615517_6703993825` | `float64` | Source column. | `24247.12816528837` | | `d_625509_2398767031` | `float64` | Source column. | `26551.406082579357` | | `d_631077_035974896` | `float64` | Source column. | `25066.12009762117` | | `d_634977_1828162188` | `float64` | Source column. | `26037.470796618265` | | `d_640212_6677851825` | `float64` | Source column. | `28701.089328833463` | | `d_660285_9067700492` | `float64` | Source column. | `33449.71652129904` | | `d_659085_4777493416` | `float64` | Source column. | `33594.06097008241` | | `d_663269_0265960597` | `float64` | Source column. | `34337.18501617379` | | `d_668689_5110461238` | `float64` | Source column. | `34337.26227977366` | | `d_664613_1029593201` | `float64` | Source column. | `31386.723619373253` | | `d_666931_221005204` | `float64` | Source column. | `33410.28425967711` | | `d_687333_2930701182` | `float64` | Source column. | `33087.7070332162` | | `d_680125_9079941098` | `float64` | Source column. | `37239.08632880534` | | `d_674803_2235820082` | `float64` | Source column. | `36250.76875833965` | | `d_685110_0291545131` | `float64` | Source column. | `41062.24485487778` | | `d_678346_6559394968` | `float64` | Source column. | `40766.60124665322` | | `d_684682_2142932253` | `float64` | Source column. | `40492.81894787666` | | `d_709629_7523746607` | `float64` | Source column. | `43457.523924981215` | | `d_709041_0519345478` | `float64` | Source column. | `39251.70709773344` | | `d_705663_8776023592` | `float64` | Source column. | `40381.06687195058` | | `d_704548_3933485702` | `float64` | Source column. | `40759.83048602071` | | `d_701139_1028627318` | `float64` | Source column. | `42020.08731922986` | | `d_704991_3242052885` | `float64` | Source column. | `41515.63547053484` | | `d_719201_0312452267` | `float64` | Source column. | `41162.05378313999` | | `d_702221_4846854531` | `float64` | Source column. | `41183.95882841017` | | `d_702227_4730478938` | `float64` | Source column. | `41734.54974108012` | | `d_699607_1210746412` | `float64` | Source column. | `41972.54619721431` | | `d_704746_7656877658` | `float64` | Source column. | `41574.0071484445` | | `d_705391_440309305` | `float64` | Source column. | `41742.25172919619` | | `d_728483_0549144008` | `float64` | Source column. | `46139.90419665063` | | `d_724698_5102341791` | `float64` | Source column. | `46489.94867868572` | | `d_723916_300449034` | `float64` | Source column. | `45229.43878321227` | | `d_725809_4636810096` | `float64` | Source column. | `42366.52241704776` | | `d_722887_0671382394` | `float64` | Source column. | `43045.482354636886` | | `d_722347_6632171014` | `float64` | Source column. | `43263.13535485885` | | `d_747008_3956863803` | `float64` | Source column. | `44303.35502058392` | | `d_723960_0992098551` | `float64` | Source column. | `41755.37671044753` | | `d_724234_1813754915` | `float64` | Source column. | `41044.966603672656` | | `d_736703_7225825797` | `float64` | Source column. | `41385.50472154043` | | `d_735681_259436664` | `float64` | Source column. | `43983.77072479983` | | `d_736923_6984878746` | `float64` | Source column. | `44530.64232621962` | | `d_755248_0997064551` | `float64` | Source column. | `45184.75520229972` | | `d_753107_0443666874` | `float64` | Source column. | `42470.76918352787` | | `d_746777_9522179894` | `float64` | Source column. | `44362.36337472951` | | `d_757163_579819269` | `float64` | Source column. | `45907.64907160026` | | `d_755868_0199992196` | `float64` | Source column. | `45774.028718175` | | `d_753198_1939323389` | `float64` | Source column. | `46554.21612338108` | | `d_763400_7573963248` | `float64` | Source column. | `49198.55313907923` | | `d_755187_4882298933` | `float64` | Source column. | `48636.11802213682` | | `d_753725_1752933011` | `float64` | Source column. | `48378.779903254814` | | `d_758251_5162368462` | `float64` | Source column. | `48427.52107205386` | | `d_753895_5668456064` | `float64` | Source column. | `48804.03495226972` | | `d_752204_9494482705` | `float64` | Source column. | `48678.87672439158` | | `d_776676_2433494893` | `float64` | Source column. | `49572.21102754507` | | `d_770282_1831886438` | `float64` | Source column. | `47956.37324886225` | | `d_762632_8997283487` | `float64` | Source column. | `48710.05278202952` | | `d_764526_2997862952` | `float64` | Source column. | `48024.81479197862` | | `d_761711_5978276234` | `float64` | Source column. | `48076.328474311966` | | `d_764873_8549856689` | `float64` | Source column. | `49524.676659395074` | | `d_784991_0596393633` | `float64` | Source column. | `52688.73949832641` | | `d_765349_2005984709` | `float64` | Source column. | `51794.57962648698` | | `d_765535_6390313987` | `float64` | Source column. | `52545.044481648365` | | `d_769496_1132549802` | `float64` | Source column. | `53314.342679422974` | | `d_769186_7288206483` | `float64` | Source column. | `55508.89965592961` | | `d_772077_68323082` | `float64` | Source column. | `55864.93340473095` | | `d_792491_9774160885` | `float64` | Source column. | `55098.54111529239` | | `d_785822_0921516934` | `float64` | Source column. | `54116.58508300555` | | `d_787215_4794824729` | `float64` | Source column. | `54963.18711033514` | | `d_794731_8952883498` | `float64` | Source column. | `55209.722229744046` | | `d_790730_5778906499` | `float64` | Source column. | `56457.83182011631` | | `d_795709_0606513198` | `float64` | Source column. | `58902.44964844722` | | `d_818098_4041648303` | `float64` | Source column. | `62154.60914764837` | | `d_799281_4391590562` | `float64` | Source column. | `58428.38058584183` | | `d_793575_2488210024` | `float64` | Source column. | `58479.60106479867` | | `d_804276_4658777552` | `float64` | Source column. | `55961.54681862961` 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`88191.01674878078` | | `source_provider` | `string` | Publishing organization. | `Bank Al-Maghrib` | | `source_dataset` | `string` | Source package title. | `Ventilation du crédit bancaire par secteur institutionnel (déc-2001 à se` | | `source_resource` | `string` | Source resource title. | `13- Ventilation du crédit bancaire par secteur institutionnel déc 2001 -` | | `source_package_id` | `string` | CKAN package UUID. | `5feb00aa-b57f-411c-8cfc-b04b77a28f3f` | | `source_resource_id` | `string` | CKAN resource UUID. | `1b1e37e8-b791-4234-aaa7-002b099f54d4` | | `source_url` | `string` | Original source resource URL. | `https://data.gov.ma/data/fr/dataset/5feb00aa-b57f-411c-8cfc-b04b77a28f3f` | | `license_id` | `string` | Source license identifier. | `odc-odbl` | | `retrieved_at` | `string` | UTC retrieval timestamp. | `2026-07-16T21:31:48Z` | ## Usage ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-morocco-ventilation-du-credit-bancaire-par-secteur-institutionnel-d7963ef6") df = ds["train"].to_pandas() print(df.head()) ``` ### Filter to one country ```python sample_country = df[df["country_iso3"] == "MAR"] ``` ### Work with indicators ```python if "indicator_id" in df.columns: print(df["indicator_id"].value_counts().head()) sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns]) ``` ## Citation ```bibtex @misc{electric_sheep_africa_africa_morocco_ventilation_du_credit_bancaire_par_secteur_institutionnel_d7963ef_2026, title = {Ventilation du crédit bancaire par secteur institutionnel (déc-2001 à sept-2023) | Africa (Morocco official open data)}, author = {Bank Al-Maghrib}, year = {2026}, url = {https://data.gov.ma/data/dataset/ventilation-du-credit-bancaire-par-secteur-institutionnel-dec-2001-a-sept-2023}, publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa}, howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-ventilation-du-credit-bancaire-par-secteur-institutionnel-d7963ef6}} } ``` ## License Released under [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/). Original data (c) Bank Al-Maghrib. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging. ## About Electric Sheep Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use `load_dataset()` to start working in seconds. Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica) --- Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL: https://data.gov.ma/data/fr/dataset/5feb00aa-b57f-411c-8cfc-b04b77a28f3f/resource/1b1e37e8-b791-4234-aaa7-002b099f54d4/download/13-ventilation-du-credit-bancaire-par-secteur-institutionnel-dec-2001-sept-2023.xlsx