electricsheepafrica/africa-nigeria-consumer-price-index-and-inflation-d60bb295

Consumer Price Index and Inflation | Africa (National Bureau of Statistics, Nigeria)

62 rows - 1 Africa country/area - 2025 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 62 rows from National Bureau of Statistics, Nigeria, covering Consumer Price Index and Inflation. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.

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

Dimension	Value
Rows	62
Countries/areas	1
First period	2025
Last period	2025
Indicators	0
Columns	117
Source format	ZIP

Geographic Coverage

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

Area	Rows	First year	Last year	Name
NGA	62	2025	2025	Nigeria

Indicators, Variables, Or Resource Contents

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

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	nbs-nada-154-1276:cpi-1new-july25-xlsx-table1:0
country_iso3	string	ISO3 country or area code.	NGA
country_name	string	Country or area name.	Nigeria
source_sheet	string	Source column from the original resource.	cpi_1New_JuLY25.xlsx::Table1
year	int64	Observation year.	2025
2025	string	Source column from the original resource.	Feb
d_110_68	double	Source column from the original resource.	112.93923
d_102_92820367975021	double	Source column from the original resource.	104.69929325544756
d_10_680000000000007	double	Source column from the original resource.	2.0412269606071334
d_24_47934910392557	double	Source column from the original resource.	23.18024448416243
d_30_881495103561804	double	Source column from the original resource.	30.091499739581764
d_110_7	double	Source column from the original resource.	113.116378
d_102_58393350660627	double	Source column from the original resource.	104.2873129300328
d_10_700000000000003	double	Source column from the original resource.	2.182816621499555
d_21_92765550320803	double	Source column from the original resource.	22.05597101402641
d_24_731571804364933	double	Source column from the original resource.	24.489448616690492
d_110_33	double	Source column from the original resource.	112.176425
d_103_1693097746528	double	Source column from the original resource.	104.94841594782676
d_10_329999999999998	double	Source column from the original resource.	1.6735475392005696
d_26_07587479771773	double	Source column from the original resource.	23.505387828846366
d_36_09156128152901	double	Source column from the original resource.	34.739677860673055
d_110_87	double	Source column from the original resource.	113.661447
d_102_66453320579392	double	Source column from the original resource.	104.43609800959624
d_10_870000000000005	double	Source column from the original resource.	2.517765851898602
d_22_59124992827124	double	Source column from the original resource.	23.006670471930704
d_25_531817585393043	double	Source column from the original resource.	25.32838122940421
2025_2	string	Source column from the original resource.	Feb
source_period_start_year	int64	Start year inferred from source metadata.	2025
source_period_end_year	int64	End year inferred from source metadata.	2025
source_period_label	string	Source column from the original resource.	2025
source_provider	string	Publishing organization.	National Bureau of Statistics, Nigeria
source_dataset	string	Source dataset or package title.	Consumer Price Index and Inflation
source_resource	string	Source resource title, table name, or file name.	July 2025 CPI Report
source_package_id	string	Source package identifier.	NGA-NBS-CPI
source_resource_id	string	Source resource identifier.	nbs-nada-154-1276
source_url	string	Original source URL or download URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/154/download/...
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-19T04:13:01Z
d_111_47	double	Source column from the original resource.	``
d_110_5	double	Source column from the original resource.	``
d_108_91	double	Source column from the original resource.	``
d_110_41	double	Source column from the original resource.	``
d_110_79	double	Source column from the original resource.	``
d_110_64	double	Source column from the original resource.	``
d_114_7989	double	Source column from the original resource.	``
d_112_734	double	Source column from the original resource.	``
d_107_6146	double	Source column from the original resource.	``
d_111_482	double	Source column from the original resource.	``
d_109_417	double	Source column from the original resource.	``
d_112_7659	double	Source column from the original resource.	``
d_107_5387	double	Source column from the original resource.	``
d_106_8527	double	Source column from the original resource.	``
d_104_8804	double	Source column from the original resource.	``
d_114_1385	double	Source column from the original resource.	``
d_104_653	double	Source column from the original resource.	``
d_112_0402	double	Source column from the original resource.	``
d_111_1859	double	Source column from the original resource.	``
d_111_0659	double	Source column from the original resource.	``
d_111_2949	double	Source column from the original resource.	``
d_112_6677	double	Source column from the original resource.	``
d_111_1456	double	Source column from the original resource.	``
d_111_3583	double	Source column from the original resource.	``
d_108_8475	double	Source column from the original resource.	``
d_110_6382	double	Source column from the original resource.	``
d_111_4726	double	Source column from the original resource.	``
d_111_563254	double	Source column from the original resource.	``
d_115_610117	double	Source column from the original resource.	``
d_113_577006	double	Source column from the original resource.	``
d_107_09951	double	Source column from the original resource.	``
d_112_3353	double	Source column from the original resource.	``
d_110_265294	double	Source column from the original resource.	``
d_114_115116	double	Source column from the original resource.	``
d_107_251684	double	Source column from the original resource.	``
d_106_967382	double	Source column from the original resource.	``
d_105_019004	double	Source column from the original resource.	``
d_114_504004	double	Source column from the original resource.	``
d_104_834431	double	Source column from the original resource.	``
d_112_120888	double	Source column from the original resource.	``
d_11_18589999999999	double	Source column from the original resource.	``
d_26_087001103673373	double	Source column from the original resource.	``
d_33_015163367503874	double	Source column from the original resource.	``
d_109_4697	double	Source column from the original resource.	``
d_109_7349	double	Source column from the original resource.	``
d_109_783	double	Source column from the original resource.	``
d_109_253	double	Source column from the original resource.	``
d_108_6858	double	Source column from the original resource.	``
d_108_8997	double	Source column from the original resource.	``
d_109_107	double	Source column from the original resource.	``
d_109_7192	double	Source column from the original resource.	``
d_109_3588	double	Source column from the original resource.	``
d_108_7702	double	Source column from the original resource.	``
d_113_0705	double	Source column from the original resource.	``
d_111_0863	double	Source column from the original resource.	``
d_110_7025	double	Source column from the original resource.	``
d_109_7418	double	Source column from the original resource.	``
d_108_288	double	Source column from the original resource.	``
d_108_814	double	Source column from the original resource.	``
d_108_4919	double	Source column from the original resource.	``
d_106_324	double	Source column from the original resource.	``
d_104_228	double	Source column from the original resource.	``
d_113_228	double	Source column from the original resource.	``
d_104_169	double	Source column from the original resource.	``
d_111_8739	double	Source column from the original resource.	``
d_9_469700000000003	double	Source column from the original resource.	``
d_22_14981459645486	double	Source column from the original resource.	``
d_28_871419440294517	double	Source column from the original resource.	``
state	string	Source column from the original resource.	``
food	double	Source column from the original resource.	``
all_items	double	Source column from the original resource.	``
food_2	double	Source column from the original resource.	``
all_items_2	double	Source column from the original resource.	``
food_3	double	Source column from the original resource.	``
all_items_3	double	Source column from the original resource.	``
food_4	double	Source column from the original resource.	``
all_items_4	double	Source column from the original resource.	``
food_5	double	Source column from the original resource.	``
all_items_5	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-consumer-price-index-and-inflation-d60bb295")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

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

Filter By Geography

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

Time-Series Pattern

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

Pivot For Analysis

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

• Source: National Bureau of Statistics, Nigeria
• Publisher: National Bureau of Statistics, Nigeria
• Portal: https://microdata.nigerianstat.gov.ng
• Resource: July 2025 CPI Report
• License: other-open
• Retrieved/generated: 2026-07-19T04:14:17Z
• Hugging Face repo: electricsheepafrica/africa-nigeria-consumer-price-index-and-inflation-d60bb295

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

• Build time-series dashboards
• Compare economic indicators
• Join with population or sector 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

@misc{electric_sheep_africa_africa_nigeria_consumer_price_index_and_inflation_d60bb295_2025,
  title        = {Consumer Price Index and Inflation | Africa (National Bureau of Statistics, Nigeria)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2025},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/154/related-materials},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-consumer-price-index-and-inflation-d60bb295}}
}

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.

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Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://microdata.nigerianstat.gov.ng/index.php/catalog/154/related-materials