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electricsheepafrica/africa-nigeria-federation-account-allocation-committee-faac-disbursement-39202e56

Federation Account Allocation Committee Faac Disbursement | Africa (National Bureau of Statistics, Nigeria) 2,698 rows - 1 Africa country/area - 2025 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 2,698 rows from National Bureau of Statistics, Nigeria, covering Federation Account Allocation Committee Faac Disbursement. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-federation-account-allocation-committee-faac-disbursement-39202e56.

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Dataset Card

Federation Account Allocation Committee Faac Disbursement | Africa (National Bureau of Statistics, Nigeria)

2,698 rows - 1 Africa country/area - 2025 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 2,698 rows from National Bureau of Statistics, Nigeria, covering Federation Account Allocation Committee Faac Disbursement. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Transport datasets help analysts examine mobility, infrastructure, passenger movement, logistics, and access to services.

Source-provided context: Document, Report [doc/rep]

How To Read This Dataset

  • —One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
  • —Primary geography column: country_iso3.
  • —Best time column: year.
  • —Time coverage basis: year.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows2,698
Countries/areas1
First period2025
Last period2025
Indicators0
Columns131
Source formatZIP

Geographic Coverage

Top areas shown below, sorted by row count when available:

AreaRowsFirst yearLast yearName
NGA2,69820252025Nigeria

Indicators, Variables, Or Resource Contents

  • —This repo preserves one source tabular resource with its usable columns kept together.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.nbs-nada-156-1291:disbursement-august-2025-xlsx-mo:0
country_iso3stringISO3 country or area code.NGA
country_namestringCountry or area name.Nigeria
source_sheetstringSource column from the original resource.Disbursement August, 2025.xlsx::MONTHENTRY
yearint64Observation year.2025
column_1doubleSource column from the original resource.1.0
daystringSource column from the original resource.Jan
column_5doubleSource column from the original resource.1.0
source_period_start_yearint64Start year inferred from source metadata.2025
source_period_end_yearint64End year inferred from source metadata.2025
source_period_labelstringSource column from the original resource.2025
source_providerstringPublishing organization.National Bureau of Statistics, Nigeria
source_datasetstringSource dataset or package title.Federation Account Allocation Committee (FAAC) Disbursement
source_resourcestringSource resource title, table name, or file name.July-August 2025 FAAC Disbursement
source_package_idstringSource package identifier.NGA-NBS-FAAC
source_resource_idstringSource resource identifier.nbs-nada-156-1291
source_urlstringOriginal source URL or download URL.https://microdata.nigerianstat.gov.ng/index.php/catalog/156/download/...
license_idstringSource license identifier.other-open
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-19T04:13:01Z
s_ndoubleSource column from the original resource.``
beneficiariesstringSource column from the original resource.``
gross_statutory_allocationdoubleSource column from the original resource.``
total_deductionstringSource column from the original resource.``
net_statutory_allocationstringSource column from the original resource.``
exchange_gain_allocationdoubleSource column from the original resource.``
electronic_money_transfer_levy_emtldoubleSource column from the original resource.``
othersstringSource column from the original resource.``
value_added_taxstringSource column from the original resource.``
totalstringSource column from the original resource.``
d_12doubleSource column from the original resource.``
edostringSource column from the original resource.``
d_18doubleSource column from the original resource.``
d_7469916960_60698doubleSource column from the original resource.``
d_3830095531_7569doubleSource column from the original resource.``
d_11300012492_36388doubleSource column from the original resource.``
d_1375175039_71doubleSource column from the original resource.``
d_510923032_41doubleSource column from the original resource.``
d_170793606_79999995doubleSource column from the original resource.``
d_9243120813_443882doubleSource column from the original resource.``
d_237851839_52doubleSource column from the original resource.``
d_54824997_88doubleSource column from the original resource.``
d_292676837_40000004doubleSource column from the original resource.``
d_475350657_9333doubleSource column from the original resource.``
d_768027495_3333001doubleSource column from the original resource.``
d_213445905_2344doubleSource column from the original resource.``
d_106722952_6172doubleSource column from the original resource.``
d_106722952_6172_2doubleSource column from the original resource.``
d_7721637198_8883doubleSource column from the original resource.``
d_0doubleSource column from the original resource.``
d_7721637198_8883_2doubleSource column from the original resource.``
d_20003123091_81988doubleSource column from the original resource.``
d_17839508460_282684doubleSource column from the original resource.``
d_12_2doubleSource column from the original resource.``
d_0_2doubleSource column from the original resource.``
d_1doubleSource column from the original resource.``
abiastringSource column from the original resource.``
d_1_2doubleSource column from the original resource.``
aba_northstringSource column from the original resource.``
d_247795360_28doubleSource column from the original resource.``
d_7890125_5doubleSource column from the original resource.``
d_13827429_66doubleSource column from the original resource.``
d_7670564_5734doubleSource column from the original resource.``
d_3835282_2867doubleSource column from the original resource.``
d_3835282_2867_2doubleSource column from the original resource.``
d_201089279_25doubleSource column from the original resource.``
d_474437476_9767doubleSource column from the original resource.``
column_14doubleSource column from the original resource.``
d_19doubleSource column from the original resource.``
d_26doubleSource column from the original resource.``
kanostringSource column from the original resource.``
kunchistringSource column from the original resource.``
d_262324212_12doubleSource column from the original resource.``
d_8352742_97doubleSource column from the original resource.``
d_12709954_99doubleSource column from the original resource.``
d_8120308_6527doubleSource column from the original resource.``
d_0_3doubleSource column from the original resource.``
d_8120308_6527_2doubleSource column from the original resource.``
d_218572952_43doubleSource column from the original resource.``
d_510080171_16270006doubleSource column from the original resource.``
statestringSource column from the original resource.``
deductiondoubleSource column from the original resource.``
total_ecology_funddoubleSource column from the original resource.``
transfer_of_50_share_of_ecology_to_nddc_hyppadecdoubleSource column from the original resource.``
net_share_of_ecologydoubleSource column from the original resource.``
vatdoubleSource column from the original resource.``
total_net_allocationdoubleSource column from the original resource.``
statesstringSource column from the original resource.``
gross_statutory_allocation_ecologydoubleSource column from the original resource.``
exchange_gain_allocation_ecologydoubleSource column from the original resource.``
local_government_councilsstringSource column from the original resource.``
total_ecologydoubleSource column from the original resource.``
augmentation_of_100b_from_non_oil_revenuedoubleSource column from the original resource.``
d_5774049589_54001doubleSource column from the original resource.``
d_3768007005_7193doubleSource column from the original resource.``
d_9542056595_25931doubleSource column from the original resource.``
d_1642336777_46doubleSource column from the original resource.``
d_7218003178_58931doubleSource column from the original resource.``
d_233018417_49doubleSource column from the original resource.``
d_53729018_82doubleSource column from the original resource.``
d_286747436_31doubleSource column from the original resource.``
d_372597913_037doubleSource column from the original resource.``
d_641107847_1817doubleSource column from the original resource.``
d_1300453196_5286999doubleSource column from the original resource.``
d_184103331_3475doubleSource column from the original resource.``
d_92051665_67375doubleSource column from the original resource.``
d_92051665_67375_2doubleSource column from the original resource.``
d_7776889999_4901doubleSource column from the original resource.``
d_7776889999_4901_2doubleSource column from the original resource.``
d_18803503122_625614doubleSource column from the original resource.``
d_16387398040_281858doubleSource column from the original resource.``
column_26doubleSource column from the original resource.``
d_191539304_3699doubleSource column from the original resource.``
d_7729789_1019doubleSource column from the original resource.``
d_10833472_5213doubleSource column from the original resource.``
d_21267110_5731doubleSource column from the original resource.``
d_6616086_1214doubleSource column from the original resource.``
d_3308043_0607doubleSource column from the original resource.``
d_3308043_0607_2doubleSource column from the original resource.``
d_199839326_2308doubleSource column from the original resource.``
d_434517045_8577doubleSource column from the original resource.``
column_15doubleSource column from the original resource.``
d_202769725_1915doubleSource column from the original resource.``
d_8183005_6612doubleSource column from the original resource.``
d_9967932_4801doubleSource column from the original resource.``
d_22514053_6075doubleSource column from the original resource.``
d_7004003_5337doubleSource column from the original resource.``
d_7004003_5337_2doubleSource column from the original resource.``
d_213089689_2392doubleSource column from the original resource.``
d_463528409_7132doubleSource column from the original resource.``
distribution_of_100b_from_non_oil_revenuedoubleSource column from the original resource.``
augmentation_of_100b_from_non_oil_revenue_ecologydoubleSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-federation-account-allocation-committee-faac-disbursement-39202e56")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "NGA"]

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

  • —Canonical time field: year.
  • —Missing values are preserved rather than silently imputed.
  • —Column names are standardized for machine use; source meanings are preserved where known.
  • —Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

Transformations Applied

  • —Converted the source table to Parquet for efficient analytics and ML workflows.
  • —Added or preserved source provenance columns where available.
  • —Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
  • —Preserved source-reported values without analytical imputation.

Suggested Analyses

  • —Track mobility over time
  • —Compare routes or geographies
  • —Join with economic and population data
  • —Build time-series views and period-over-period comparisons
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_nigeria_federation_account_allocation_committee_faac_disbursement_39202e5_2025,
  title        = {Federation Account Allocation Committee Faac Disbursement | Africa (National Bureau of Statistics, Nigeria)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2025},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/156/related-materials},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-federation-account-allocation-committee-faac-disbursement-39202e56}}
}

License

Released under other-open.

Original data is published by National Bureau of Statistics, Nigeria. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://microdata.nigerianstat.gov.ng/index.php/catalog/156/related-materials