electricsheepafrica/africa-nigeria-capital-importation-fbd2cfd8

Capital Importation | Africa (National Bureau of Statistics, Nigeria)

222 rows - 1 Africa country/area - 2024 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 222 rows from National Bureau of Statistics, Nigeria, covering Capital Importation. 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: Table [tbl]

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	222
Countries/areas	1
First period	2024
Last period	2024
Indicators	0
Columns	184
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
NGA	222	2024	2024	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-143-1065:table-1-cap-impt-by-type: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.	Table 1 Cap Impt by Type
year	int64	Observation year.	2024
foreign_direct_investment	string	Source column from the original resource.	``
column_2	string	Source column from the original resource.	Equity
d_195_28	string	Source column from the original resource.	194.63
d_121_82	double	Source column from the original resource.	113.95
d_490_69	double	Source column from the original resource.	490.39
d_472_99	double	Source column from the original resource.	461.58
d_544_5	double	Source column from the original resource.	544.21
d_768_86	double	Source column from the original resource.	767.83
d_2277_04	double	Source column from the original resource.	2264.01
d_394_61	string	Source column from the original resource.	394.56
d_211_14	double	Source column from the original resource.	211.01
d_717_71	double	Source column from the original resource.	715.86
d_123_16	string	Source column from the original resource.	120.98
d_1446_6200000000001	double	Source column from the original resource.	1442.41
d_174_46	string	Source column from the original resource.	173.73
d_184_29	string	Source column from the original resource.	184.21
d_340_64	string	Source column from the original resource.	340.64
d_344_63	double	Source column from the original resource.	344.57
d_1044_02	double	Source column from the original resource.	1043.15
d_211_38	string	Source column from the original resource.	210.1
d_274_36988188	double	Source column from the original resource.	274.06988188
d_117_59506864000001	double	Source column from the original resource.	117.46884221
d_378_41	double	Source column from the original resource.	377.8
d_981_75495052	double	Source column from the original resource.	979.43872409
d_246_61605839999996	double	Source column from the original resource.	246.6110784
d_261_34717744	double	Source column from the original resource.	255.7137972
d_530_6258540700001	double	Source column from the original resource.	530.6258540700001
d_156_08	double	Source column from the original resource.	156.08
d_1194_66908991	double	Source column from the original resource.	1189.0307296699998
d_247_36999999999998	double	Source column from the original resource.	246.67
d_223_14	double	Source column from the original resource.	223.14
d_206_57999999999998	double	Source column from the original resource.	202.88
d_257_2484711	double	Source column from the original resource.	249.55029041000003
d_934_3384710999999	double	Source column from the original resource.	922.24029041
d_214_25410881	double	Source column from the original resource.	213.84393597
d_148_58999501	double	Source column from the original resource.	148.58999501
d_414_79476593	double	Source column from the original resource.	414.79476593
d_250_03936487	double	Source column from the original resource.	247.50305681
d_1027_67823462	double	Source column from the original resource.	1024.73175372
d_154_76234890001203	double	Source column from the original resource.	148.56005890001202
d_77_97366737	double	Source column from the original resource.	77.97366737
d_107_81209830000002	double	Source column from the original resource.	107.81209830000002
d_358_23073793000003	double	Source column from the original resource.	358.23073793000003
d_698_7788525000121	double	Source column from the original resource.	692.5765625000121
d_154_97	double	Source column from the original resource.	154.97
d_147_16267982	string	Source column from the original resource.	142.16267982
d_81_71647983	double	Source column from the original resource.	81.71647983
d_84_22723419	double	Source column from the original resource.	84.06448419
d_468_07639384000004	double	Source column from the original resource.	462.9136438400001
d_47_60461587999999	double	Source column from the original resource.	47.59186587999999
d_86_02813841	double	Source column from the original resource.	86.01538841
d_59_77023679999999	double	Source column from the original resource.	59.7574868
d_183_97306974	double	Source column from the original resource.	183.96031974
d_377_37606083	double	Source column from the original resource.	377.32506083
d_119_17922117000002	double	Source column from the original resource.	119.16647117000002
d_29_82773978	double	Source column from the original resource.	29.81923978
d_103_82235947000001	double	Source column from the original resource.	97.11582278
d_248_07317026285256	double	Source column from the original resource.	225.68175277605957
d_73_70243958946475	double	Source column from the original resource.	62.5165782239691
source_period_start_year	int64	Start year inferred from source metadata.	2024
source_period_end_year	int64	End year inferred from source metadata.	2024
source_period_label	string	Source column from the original resource.	2024
source_provider	string	Publishing organization.	National Bureau of Statistics, Nigeria
source_dataset	string	Source dataset or package title.	Capital Importation
source_resource	string	Source resource title, table name, or file name.	Nigeria Capital Importation Q3 2024 Tables
source_package_id	string	Source package identifier.	NGA-NBS-CAPIMP
source_resource_id	string	Source resource identifier.	nbs-nada-143-1065
source_url	string	Original source URL or download URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/143/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
shares	string	Source column from the original resource.	``
d_3476_7	string	Source column from the original resource.	``
d_3046_67	string	Source column from the original resource.	``
d_2773_36	string	Source column from the original resource.	``
d_4575_25	string	Source column from the original resource.	``
d_4523_86	string	Source column from the original resource.	``
1934	string	Source column from the original resource.	``
d_13806_79	double	Source column from the original resource.	``
d_1280_67	string	Source column from the original resource.	``
d_1877_26	string	Source column from the original resource.	``
d_1736_48	double	Source column from the original resource.	``
d_831_88	string	Source column from the original resource.	``
d_5726_29	double	Source column from the original resource.	``
d_243_53	string	Source column from the original resource.	``
d_347_99	string	Source column from the original resource.	``
d_646_28	string	Source column from the original resource.	``
d_228_24	string	Source column from the original resource.	``
d_1466_04	double	Source column from the original resource.	``
d_143_81	double	Source column from the original resource.	``
d_932_58	double	Source column from the original resource.	``
d_2745_78745004	double	Source column from the original resource.	``
d_3680_34	double	Source column from the original resource.	``
d_7502_51745004	double	Source column from the original resource.	``
d_3792_72665623	double	Source column from the original resource.	``
d_4091_39579173	double	Source column from the original resource.	``
d_1667_75700765	double	Source column from the original resource.	``
d_873_29623748	double	Source column from the original resource.	``
d_10425_175693090001	double	Source column from the original resource.	``
d_2403_2257481399997	double	Source column from the original resource.	``
d_1119_91	double	Source column from the original resource.	``
d_774_79237898	double	Source column from the original resource.	``
d_1037_3702561500002	double	Source column from the original resource.	``
d_5335_29838327	double	Source column from the original resource.	``
d_817_37609147	double	Source column from the original resource.	``
d_464_56891531	double	Source column from the original resource.	``
d_283_21691674	double	Source column from the original resource.	``
d_287_04163011	double	Source column from the original resource.	``
d_1852_20355363	double	Source column from the original resource.	``
d_706_7169763068041	double	Source column from the original resource.	``
d_194_58652696000001	double	Source column from the original resource.	``
d_160_91249326000002	double	Source column from the original resource.	``
d_31_67288009	double	Source column from the original resource.	``
d_1093_8888766168043	double	Source column from the original resource.	``
d_149_48144485	double	Source column from the original resource.	``
d_152_40761952	double	Source column from the original resource.	``
d_104_57952010999999	double	Source column from the original resource.	``
d_62_946840789999996	double	Source column from the original resource.	``
d_469_41542527	double	Source column from the original resource.	``
d_88_5132437	double	Source column from the original resource.	``
d_68_62544541000001	double	Source column from the original resource.	``
d_85_48993041	double	Source column from the original resource.	``
d_51_452043100000004	double	Source column from the original resource.	``
d_294_08066262000006	double	Source column from the original resource.	``
d_98_70950842	string	Source column from the original resource.	``
d_78_0059015	double	Source column from the original resource.	``
d_43_75341468	double	Source column from the original resource.	``
d_3_492843054219019	double	Source column from the original resource.	``
s_n0	double	Source column from the original resource.	``
country_of_origin	string	Source column from the original resource.	``
q12019	double	Source column from the original resource.	``
q22019	double	Source column from the original resource.	``
q32019	double	Source column from the original resource.	``
q42019	double	Source column from the original resource.	``
total_2019	double	Source column from the original resource.	``
q12020	double	Source column from the original resource.	``
q22020	double	Source column from the original resource.	``
q32020	double	Source column from the original resource.	``
q42020	double	Source column from the original resource.	``
total_2020	double	Source column from the original resource.	``
q12021	double	Source column from the original resource.	``
q22021	double	Source column from the original resource.	``
q32021	double	Source column from the original resource.	``
q42021	double	Source column from the original resource.	``
total_2021	double	Source column from the original resource.	``
q12022	double	Source column from the original resource.	``
q22022	double	Source column from the original resource.	``
q32022	double	Source column from the original resource.	``
q42022	double	Source column from the original resource.	``
total_2022	double	Source column from the original resource.	``
q1_2023	double	Source column from the original resource.	``
q2_2023	double	Source column from the original resource.	``
q3_2023	double	Source column from the original resource.	``
q4_2023	double	Source column from the original resource.	``
total_2023	double	Source column from the original resource.	``
q1_2024	string	Source column from the original resource.	``
q2_2024	double	Source column from the original resource.	``
q3_2024	double	Source column from the original resource.	``
location_of_investment	string	Source column from the original resource.	``
q1_2019	double	Source column from the original resource.	``
q2_2019	double	Source column from the original resource.	``
q3_2019	double	Source column from the original resource.	``
q4_2019	double	Source column from the original resource.	``
q1_2020	double	Source column from the original resource.	``
q2_2020	double	Source column from the original resource.	``
s_no	double	Source column from the original resource.	``
name_of_bank	string	Source column from the original resource.	``
q1	double	Source column from the original resource.	``
q2	double	Source column from the original resource.	``
q3	double	Source column from the original resource.	``
q4	double	Source column from the original resource.	``
q3_2020	double	Source column from the original resource.	``
q4_2020	double	Source column from the original resource.	``
q1_2021	double	Source column from the original resource.	``
q2_2021	double	Source column from the original resource.	``
q3_2021	double	Source column from the original resource.	``
q4_2021	double	Source column from the original resource.	``
q1_2022	double	Source column from the original resource.	``
q3_2022	double	Source column from the original resource.	``
q4_2022	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-capital-importation-fbd2cfd8")
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: Nigeria Capital Importation Q3 2024 Tables
• License: other-open
• Retrieved/generated: 2026-07-19T04:13:19Z
• Hugging Face repo: electricsheepafrica/africa-nigeria-capital-importation-fbd2cfd8

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_capital_importation_fbd2cfd8_2024,
  title        = {Capital Importation | Africa (National Bureau of Statistics, Nigeria)},
  author       = {National Bureau of Statistics, Nigeria},
  year         = {2024},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/143/related-materials},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-capital-importation-fbd2cfd8}}
}

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/143/related-materials