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electricsheepafrica/africa-zambia-qgdp-q1-2026-zambia-9ed0892e

Qgdp Q1 2026 Zambia | Africa (Zambia Statistics Agency) 62 rows - 1 Africa country/area - 2026 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 62 rows from Zambia Statistics Agency, covering Qgdp Q1 2026 Zambia. 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-zambia-qgdp-q1-2026-zambia-9ed0892e.

sourceHugging Faceotherupdated 2mo agoView on Hugging Face
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Dataset Card

Qgdp Q1 2026 Zambia | Africa (Zambia Statistics Agency)

62 rows - 1 Africa country/area - 2026 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 62 rows from Zambia Statistics Agency, covering Qgdp Q1 2026 Zambia. 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: QGDPQ12026_Zambia

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
Rows62
Countries/areas1
First period2026
Last period2026
Indicators0
Columns148
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
ZMB6220262026Zambia

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.zamstats-media-eceaed66305444:current-price:0
country_iso3stringISO3 country or area code.ZMB
country_namestringCountry or area name.Zambia
source_sheetstringSource column from the original resource.Current Price
yearint64Observation year.2026
aastringSource column from the original resource.AB
crop_and_animal_production_hunting_and_related_service_astringSource column from the original resource.Forestry and logging
d_2597_56728437505doubleSource column from the original resource.117.79330056147636
1987doubleSource column from the original resource.153.3683145132175
d_1128_428000117908doubleSource column from the original resource.181.33572223690447
d_2359_6760004572893doubleSource column from the original resource.253.14144833899584
d_3063_1167530577204doubleSource column from the original resource.140.11643670875833
d_2492_2147934013465doubleSource column from the original resource.188.90982942837803
d_1399_3971745859612doubleSource column from the original resource.221.2171198610893
d_2829_7027656489054doubleSource column from the original resource.291.81089874321617
d_3487_699320924951doubleSource column from the original resource.277.3168228969502
d_2779_374555410423doubleSource column from the original resource.200.0245778506601
d_1554_0435380092697doubleSource column from the original resource.240.64254327682363
d_3122_290237762654doubleSource column from the original resource.169.39691795437568
d_3635_3101860591214doubleSource column from the original resource.187.1931046115792
d_2830_8487542235753doubleSource column from the original resource.232.0209045379485
d_1561_798740439346doubleSource column from the original resource.347.6982627287954
d_3019_936254132931doubleSource column from the original resource.203.1436223701044
d_3475_86195388558doubleSource column from the original resource.236.1922093076527
d_2492_485520667261doubleSource column from the original resource.341.13112298024066
d_1277_8826404366766doubleSource column from the original resource.310.4672216576221
d_2366_6897652557004doubleSource column from the original resource.309.7970446585834
d_2191_322168726881doubleSource column from the original resource.263.4580424113806
d_1614_755150096389doubleSource column from the original resource.348.4884103388049
d_965_1498870496546doubleSource column from the original resource.409.2218771354696
d_2459_7759182136183doubleSource column from the original resource.337.8541606433754
d_3700_346654421571doubleSource column from the original resource.348.67444667075154
d_2817_4229276695246doubleSource column from the original resource.318.3392974783944
d_1503_8150216043239doubleSource column from the original resource.333.0987185142701
d_3040_1750367512386doubleSource column from the original resource.305.95769252027367
d_2812_592053666837doubleSource column from the original resource.365.4524496774388
d_1632_4520270426601doubleSource column from the original resource.305.31726144440233
d_874_7290693905919doubleSource column from the original resource.374.6298690536545
d_1655_6222013715578doubleSource column from the original resource.396.0752466995638
d_2371_6750477416476doubleSource column from the original resource.308.8867287041509
d_1783_396648369716doubleSource column from the original resource.350.2148821301031
d_1055_4444655583438doubleSource column from the original resource.407.8603608688125
d_1392_8572643245607doubleSource column from the original resource.500.7169797141661
d_1796_3046989834145doubleSource column from the original resource.455.0784914382224
d_1179_853344971935doubleSource column from the original resource.506.76681905944815
d_644_5434627194567doubleSource column from the original resource.498.4592994644566
d_1610_9672737310577doubleSource column from the original resource.591.5323280598249
d_2108_076082128554doubleSource column from the original resource.178.41661518225297
d_1594_0361362675853doubleSource column from the original resource.309.0359085034307
d_881_2247433564233doubleSource column from the original resource.803.9200131863616
d_1778_7672063689672doubleSource column from the original resource.660.6850228562718
d_1842_4507512021737doubleSource column from the original resource.538.3599579125374
d_1834_5208592987792doubleSource column from the original resource.775.1528564771456
d_1291_3760263815784doubleSource column from the original resource.717.03759368724
d_3459_0694578378348doubleSource column from the original resource.549.1650501134195
d_2957_5760999887925doubleSource column from the original resource.872.4242642862907
d_3214_5963491078874doubleSource column from the original resource.771.3080103959938
d_1822_8138497540197doubleSource column from the original resource.658.0462162234305
d_2374_8521103100325doubleSource column from the original resource.537.8477515515523
d_2039_573373410127doubleSource column from the original resource.885.4236636145347
d_1538_2249922936353doubleSource column from the original resource.760.2383865732219
d_827_4047307748403doubleSource column from the original resource.838.6828373182246
d_1109_6215110943438doubleSource column from the original resource.724.016888206876
d_2729_03201905299doubleSource column from the original resource.1766.8360595014865
d_2957_9641773595467doubleSource column from the original resource.1658.918079671408
d_1629_3307249192doubleSource column from the original resource.1727.1220489011507
d_2777_065157335696doubleSource column from the original resource.1420.1928870804256
d_2693_0822531064578doubleSource column from the original resource.1086.6216668766197
d_6178_101328850753doubleSource column from the original resource.2694.24840776546
d_3363_08038411397doubleSource column from the original resource.2293.7239199141723
d_8458_733203104275doubleSource column from the original resource.1611.373226716561
d_9121_8159415972doubleSource column from the original resource.2154.9230399110816
source_period_start_yearint64Start year inferred from source metadata.2026
source_period_end_yearint64End year inferred from source metadata.2026
source_period_labelstringSource column from the original resource.2026
source_providerstringPublishing organization.Zambia Statistics Agency
source_datasetstringSource dataset or package title.QGDP_Q1_2026_Zambia
source_resourcestringSource resource title, table name, or file name.QGDP_Q1_2026_Zambia
source_package_idstringSource package identifier.qgdp-q1-2026-zambia-zamstats-media-eceaed66305444
source_resource_idstringSource resource identifier.zamstats-media-eceaed66305444
source_urlstringOriginal source URL or download URL.``
license_idstringSource license identifier.``
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.``
d_2648_8350095338583doubleSource column from the original resource.``
2007doubleSource column from the original resource.``
d_1120_5639907686227doubleSource column from the original resource.``
d_2296_7851945805182doubleSource column from the original resource.``
d_2813_7702699063348doubleSource column from the original resource.``
d_2230_417905510563doubleSource column from the original resource.``
d_1228_7304990640428doubleSource column from the original resource.``
d_2464_1892794172336doubleSource column from the original resource.``
d_2970_6886417777396doubleSource column from the original resource.``
d_2327_4071386724027doubleSource column from the original resource.``
d_1277_1473396224972doubleSource column from the original resource.``
d_2505_0533668266003doubleSource column from the original resource.``
d_2833_4463573064277doubleSource column from the original resource.``
d_2202_361691233348doubleSource column from the original resource.``
d_1225_4085078733879doubleSource column from the original resource.``
d_2426_4608674035576doubleSource column from the original resource.``
d_2880_036836311084doubleSource column from the original resource.``
d_2172_592216798307doubleSource column from the original resource.``
d_1213_8554365476211doubleSource column from the original resource.``
d_2489_0435484554814doubleSource column from the original resource.``
d_2595_9677929336513doubleSource column from the original resource.``
1968doubleSource column from the original resource.``
d_1110_4595294473795doubleSource column from the original resource.``
d_2271_4637598865675doubleSource column from the original resource.``
d_2689_7001431156323doubleSource column from the original resource.``
1952doubleSource column from the original resource.``
d_1111_0886475769712doubleSource column from the original resource.``
d_2524_7103982670337doubleSource column from the original resource.``
d_3204_376166271347doubleSource column from the original resource.``
d_2322_217899545402doubleSource column from the original resource.``
d_1332_0492653171725doubleSource column from the original resource.``
d_2360_842373292398doubleSource column from the original resource.``
d_2608_152005127432doubleSource column from the original resource.``
d_1811_3709803996433doubleSource column from the original resource.``
d_1080_5451706481138doubleSource column from the original resource.``
d_1525_381266863889doubleSource column from the original resource.``
d_2312_0096594224865doubleSource column from the original resource.``
d_1692_9178207512439doubleSource column from the original resource.``
d_1001_2303262861251doubleSource column from the original resource.``
d_2583_083667272918doubleSource column from the original resource.``
d_3110_38578343613doubleSource column from the original resource.``
d_2223_9644287263354doubleSource column from the original resource.``
d_1231_8514059664365doubleSource column from the original resource.``
d_2514_23246161675doubleSource column from the original resource.``
d_2888_7902831994866doubleSource column from the original resource.``
d_2162_506248765584doubleSource column from the original resource.``
d_1394_031497443014doubleSource column from the original resource.``
d_3357_500579423809doubleSource column from the original resource.``
d_2890_146041510055doubleSource column from the original resource.``
d_2389_123657656105doubleSource column from the original resource.``
d_1436_286113538738doubleSource column from the original resource.``
d_2042_8983059549014doubleSource column from the original resource.``
d_2427_1023316106885doubleSource column from the original resource.``
d_1699_2347423271465doubleSource column from the original resource.``
d_1034_5021948744682doubleSource column from the original resource.``
d_1484_2846558415513doubleSource column from the original resource.``
d_1717_0387843252793doubleSource column from the original resource.``
d_1433_671130886841doubleSource column from the original resource.``
d_780_3188376792643doubleSource column from the original resource.``
1963doubleSource column from the original resource.``
d_3201_8645313985doubleSource column from the original resource.``
d_2300_6541310374437doubleSource column from the original resource.``
d_1285_3514454393987doubleSource column from the original resource.``
d_3017_9248035252167doubleSource column from the original resource.``
d_3814_983840100869doubleSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-zambia-qgdp-q1-2026-zambia-9ed0892e")
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"] == "ZMB"]

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

  • —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

bibtex
@misc{electric_sheep_africa_africa_zambia_qgdp_q1_2026_zambia_9ed0892e_2026,
  title        = {Qgdp Q1 2026 Zambia | Africa (Zambia Statistics Agency)},
  author       = {Zambia Statistics Agency},
  year         = {2026},
  url          = {https://www.zamstats.gov.zm/qgdp_q1_2026_zambia/},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-zambia-qgdp-q1-2026-zambia-9ed0892e}}
}

License

Released under other-open.

Original data is published by Zambia Statistics Agency. 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://www.zamstats.gov.zm/qgdpq12026_zambia/