Add ML-ready official indicator dataset
Browse files- README.md +225 -0
- data/train-00000-of-00001.parquet +3 -0
- metadata/source_snapshot.json +144 -0
README.md
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| 1 |
+
---
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| 2 |
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license: other
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| 3 |
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language:
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| 4 |
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- en
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task_categories:
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| 6 |
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- tabular-classification
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- tabular-regression
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multilinguality: monolingual
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size_categories:
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- n<1K
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tags:
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- tabular
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| 13 |
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- xls
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| 14 |
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- africa
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| 15 |
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- tanzania
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| 16 |
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- official-statistics
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| 17 |
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- open-data
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| 18 |
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- energy
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| 19 |
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- tourism
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| 20 |
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- health
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| 21 |
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- population
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| 22 |
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- economics
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pretty_name: "National Bureau of Statistics | Africa (Tanzania official open data)"
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---
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| 25 |
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# National Bureau of Statistics | Africa (Tanzania official open data)
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+
228 rows - 1 Africa country - 2026 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
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| 30 |
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| 31 |
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## TL;DR
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This dataset packages one official `XLS` resource from **Tanzania** as
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ML-ready Parquet. The source file is the provenance boundary; all usable
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indicators or tabular columns from the resource stay together in this repo.
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## About the source
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- **Source:** [National Bureau of Statistics](https://www.nbs.go.tz/statistics/topic/consumer-price-index-2026)
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- **Publisher:** National Bureau of Statistics, Tanzania
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| 46 |
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- **Resource:** [CPI Summary_062026](https://www.nbs.go.tz/uploads/statistics/documents/en-1783516058-CPI Summary_062026.xls)
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- **Format:** `XLS`
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- **License:** [Other open license]()
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- **Packaging mode:** `tabular_resource`
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## Geographic coverage
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1 Africa country:
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| 54 |
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| Country | Rows | First year | Last year | Name |
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| 56 |
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|---------|-----:|-----------:|----------:|------|
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| 57 |
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| `TZA` | 228 | 2026 | 2026 | `Tanzania` |
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| 58 |
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| 59 |
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## Indicators or Resource Contents
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| 61 |
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- This source file is packaged as a normalized tabular resource.
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## Schema
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| 64 |
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| Column | Type | Description | Example |
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| 66 |
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|--------|------|-------------|---------|
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| 67 |
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| `source_record_id` | `string` | Stable row identifier for tabular resources. | `nbs-stat-0e1a91381d4be4:2021-rebased-series:0` |
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| 68 |
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| `country_iso3` | `string` | ISO3 country code. | `TZA` |
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| 69 |
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| `country_name` | `string` | Country name. | `Tanzania` |
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| 70 |
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| `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `2021_REBASED SERIES` |
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| 71 |
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| `year` | `Int64` | Observation year. | `2026` |
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| 72 |
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| `s_n` | `float64` | Source column. | `` |
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| 73 |
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| `major_groups` | `string` | Source column. | `INFLATION RATE` |
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| 74 |
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| `weights` | `float64` | Source column. | `` |
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| 75 |
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| `2020` | `float64` | Source column. | `3.152626042808304` |
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| 76 |
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| `2021` | `float64` | Source column. | `3.53198016721652` |
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| 77 |
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| `2021_2` | `float64` | Source column. | `3.3031044127693754` |
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| 78 |
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| `2021_3` | `float64` | Source column. | `3.165375564514017` |
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| 79 |
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| `2021_4` | `float64` | Source column. | `3.298870081794547` |
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| 80 |
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| `2021_5` | `float64` | Source column. | `3.3499512825533984` |
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| 81 |
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| `2021_6` | `float64` | Source column. | `3.593649781468655` |
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| 82 |
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| `2021_7` | `float64` | Source column. | `3.81279749262049` |
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| 83 |
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| `2021_8` | `float64` | Source column. | `3.844651799633492` |
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| 84 |
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| `2021_9` | `float64` | Source column. | `4.041785760507133` |
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| 85 |
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| `2021_10` | `float64` | Source column. | `4.036276598347599` |
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| 86 |
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| `2021_11` | `float64` | Source column. | `4.147773148102929` |
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| 87 |
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| `2021_12` | `float64` | Source column. | `4.16580602586567` |
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| 88 |
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| `annual_average` | `float64` | Source column. | `3.69101833278056` |
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| 89 |
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| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2026` |
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| 90 |
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| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2026` |
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| 91 |
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| `source_period_label` | `string` | Human-readable period inferred from source resource metadata. | `2026` |
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| 92 |
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| `source_provider` | `string` | Publishing organization. | `National Bureau of Statistics, Tanzania` |
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| 93 |
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| `source_dataset` | `string` | Source package title. | `National Bureau of Statistics` |
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| 94 |
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| `source_resource` | `string` | Source resource title. | `CPI Summary_062026` |
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| 95 |
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| `source_package_id` | `string` | CKAN package UUID. | `consumer-price-index-2026` |
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| 96 |
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| `source_resource_id` | `string` | CKAN resource UUID. | `nbs-stat-0e1a91381d4be4` |
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| 97 |
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| `source_url` | `string` | Original source resource URL. | `https://www.nbs.go.tz/uploads/statistics/documents/en-1783516058-CPI Sum` |
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| 98 |
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| `license_id` | `string` | Source license identifier. | `other-open` |
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| 99 |
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| `retrieved_at` | `string` | UTC retrieval timestamp. | `2026-07-21T20:19:26Z` |
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| 100 |
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| `2022` | `float64` | Source column. | `` |
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| 101 |
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| `2022_2` | `float64` | Source column. | `` |
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| 102 |
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| `2022_3` | `float64` | Source column. | `` |
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| 103 |
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| `2022_4` | `float64` | Source column. | `` |
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| 104 |
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| `2022_5` | `float64` | Source column. | `` |
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| 105 |
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| `2022_6` | `float64` | Source column. | `` |
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| 106 |
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| `2022_7` | `float64` | Source column. | `` |
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| 107 |
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| `2022_8` | `float64` | Source column. | `` |
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| 108 |
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| `2022_9` | `float64` | Source column. | `` |
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| 109 |
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| `2022_10` | `float64` | Source column. | `` |
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| 110 |
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| `2022_11` | `float64` | Source column. | `` |
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| 111 |
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| `2022_12` | `float64` | Source column. | `` |
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| 112 |
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| `column_1` | `float64` | Source column. | `` |
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| 113 |
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| `all_items_index` | `string` | Source column. | `` |
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| 114 |
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| `d_100` | `float64` | Source column. | `` |
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| 115 |
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| `d_110_0059862738567` | `float64` | Source column. | `` |
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| 116 |
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| `d_110_80899424867764` | `float64` | Source column. | `` |
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| 117 |
+
| `d_111_27521612969062` | `float64` | Source column. | `` |
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| 118 |
+
| `d_112_12587857167243` | `float64` | Source column. | `` |
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| 119 |
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| `d_112_53743610116287` | `float64` | Source column. | `` |
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| 120 |
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| `d_112_71994947208118` | `float64` | Source column. | `` |
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| 121 |
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| `d_112_81282628360859` | `float64` | Source column. | `` |
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| 122 |
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| `d_112_66898915675567` | `float64` | Source column. | `` |
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| 123 |
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| `d_112_25247068064428` | `float64` | Source column. | `` |
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| `d_112_34798815996687` | `float64` | Source column. | `` |
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| 125 |
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| `d_112_17587809184703` | `float64` | Source column. | `` |
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| 126 |
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| `d_112_6726354975784` | `float64` | Source column. | `` |
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| 127 |
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| `d_113_34071255940322` | `float64` | Source column. | `` |
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| 128 |
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| `d_112_31158124609073` | `float64` | Source column. | `` |
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| 129 |
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| `d_114_08885146405525` | `float64` | Source column. | `` |
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| 130 |
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| `d_114_64544526255436` | `float64` | Source column. | `` |
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| 131 |
+
| `d_115_50831378071997` | `float64` | Source column. | `` |
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| 132 |
+
| `d_116_05590593040294` | `float64` | Source column. | `` |
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| 133 |
+
| `d_116_182187582218` | `float64` | Source column. | `` |
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| 134 |
+
| `d_116_30096856903239` | `float64` | Source column. | `` |
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| 135 |
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| `d_116_04201504331722` | `float64` | Source column. | `` |
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| 136 |
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| `d_115_78449779649706` | `float64` | Source column. | `` |
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| 137 |
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| `d_115_87958312335394` | `float64` | Source column. | `` |
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| 138 |
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| `d_115_54083703430358` | `float64` | Source column. | `` |
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| 139 |
+
| `d_116_0494133608614` | `float64` | Source column. | `` |
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| 140 |
+
| `d_116_86536106361109` | `float64` | Source column. | `` |
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| 141 |
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| `d_115_74528166757726` | `float64` | Source column. | `` |
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| 142 |
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| `2024` | `float64` | Source column. | `` |
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| 143 |
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| `2025` | `float64` | Source column. | `` |
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| 144 |
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| `2025_2` | `float64` | Source column. | `` |
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| 145 |
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| `2025_3` | `float64` | Source column. | `` |
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| `2025_4` | `float64` | Source column. | `` |
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| 147 |
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| `2025_5` | `float64` | Source column. | `` |
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| 148 |
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| `2025_6` | `float64` | Source column. | `` |
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| `2025_7` | `float64` | Source column. | `` |
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| `2025_8` | `float64` | Source column. | `` |
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| `2025_9` | `float64` | Source column. | `` |
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| `2025_10` | `float64` | Source column. | `` |
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| 153 |
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| `2025_11` | `float64` | Source column. | `` |
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| `2025_12` | `float64` | Source column. | `` |
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| 155 |
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| `2026` | `float64` | Source column. | `` |
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| 156 |
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| `2026_2` | `float64` | Source column. | `` |
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| `2026_3` | `float64` | Source column. | `` |
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| `2026_4` | `float64` | Source column. | `` |
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| `2026_5` | `float64` | Source column. | `` |
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| `2026_6` | `float64` | Source column. | `` |
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| `2026_7` | `string` | Source column. | `` |
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| `2026_8` | `string` | Source column. | `` |
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| `2026_9` | `string` | Source column. | `` |
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| `2026_10` | `string` | Source column. | `` |
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| `2026_11` | `string` | Source column. | `` |
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| `2026_12` | `string` | Source column. | `` |
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("electricsheepafrica/africa-tanzania-national-bureau-of-statistics-8c81d3e0")
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df = ds["train"].to_pandas()
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print(df.head())
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```
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### Filter to one country
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```python
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sample_country = df[df["country_iso3"] == "TZA"]
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```
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### Work with indicators
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```python
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if "indicator_id" in df.columns:
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print(df["indicator_id"].value_counts().head())
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sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
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```
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## Citation
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```bibtex
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@misc{electric_sheep_africa_africa_tanzania_national_bureau_of_statistics_8c81d3e0_2026,
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title = {National Bureau of Statistics | Africa (Tanzania official open data)},
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author = {National Bureau of Statistics, Tanzania},
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year = {2026},
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url = {https://www.nbs.go.tz/statistics/topic/consumer-price-index-2026},
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publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
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howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tanzania-national-bureau-of-statistics-8c81d3e0}}
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}
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```
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## License
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Released under [Other open license]().
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Original data (c) National Bureau of Statistics, Tanzania. When using this dataset, please cite both the
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original source above and the Electric Sheep Africa repackaging.
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## About Electric Sheep
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Electric Sheep Africa is part of the Electric Sheep mission: a unified,
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ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
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open sources, normalize the schemas, package as Parquet, and publish with
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consistent dataset cards so researchers and developers can use `load_dataset()`
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to start working in seconds.
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Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
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+
---
|
| 223 |
+
|
| 224 |
+
Provenance: ingested 2026-07-21 via the Electric Sheep pipeline. Source URL:
|
| 225 |
+
https://www.nbs.go.tz/uploads/statistics/documents/en-1783516058-CPI Summary_062026.xls
|
data/train-00000-of-00001.parquet
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b722a3a0764332eb70183746f176c360c87a4f2c6162b7d7960a9b3a9bda5ad
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size 89165
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metadata/source_snapshot.json
ADDED
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@@ -0,0 +1,144 @@
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{
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"columns": [
|
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"source_record_id",
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|
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|
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| 8 |
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|
| 9 |
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],
|
| 104 |
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"generated_at": "2026-07-21T20:21:26Z",
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"indicator_count": 0,
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"mode": "tabular_resource",
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"repo_id": "electricsheepafrica/africa-tanzania-national-bureau-of-statistics-8c81d3e0",
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"rows": 228,
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"source": {
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"api_base_url": "https://www.nbs.go.tz/statistics",
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"country_iso3": "TZA",
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"country_name": "Tanzania",
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"group_names": "Energy Statistics; Advance Release Calendar; Crime Statistics; Agriculture Statistics; FinScope Survey Reports; Environmental Statistics; Gender Statistics; Financial Reports; High Frequency Data; Geographic Information System (GIS); Industrial and Construction Statistics; Health Statistics; Investment Statistics; National Accounts Statistics; Labour and Price Statistics; Hotel Statistics; Population and Housing Census; Poverty Indicators Statistics; Statistical Abstract; Tanzania in Figures; Tanzania Statistical Master Plan (TSMP); Statistical Business Register Statistics; Tax Statistics; Tourism Statistics; Trade and Transport Statistics; User Satisfaction Survey; National Bureau of Statistics; en-1783516058-CPI Summary_062026.xls; 2026-07-08",
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| 114 |
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"license_id": "other-open",
|
| 115 |
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"license_title": "Public NBS statistics download",
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"license_url": "https://www.nbs.go.tz/statistics/topic/consumer-price-index-2026",
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| 117 |
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"organization_title": "National Bureau of Statistics, Tanzania",
|
| 118 |
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"package_id": "consumer-price-index-2026",
|
| 119 |
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"package_name": "consumer-price-index-2026",
|
| 120 |
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"package_notes": "Public statistics downloads from the Tanzania NBS topic page: National Bureau of Statistics",
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| 121 |
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"package_page_url": "https://www.nbs.go.tz/statistics/topic/consumer-price-index-2026",
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| 122 |
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"package_title": "National Bureau of Statistics",
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"package_type": "statistics-topic",
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"portal_title": "National Bureau of Statistics Tanzania",
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"portal_url": "https://www.nbs.go.tz",
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"resource_created": "2026-07-08",
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"resource_description": "08 July, 2026 CPI Summary_062026",
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"resource_url": "https://www.nbs.go.tz/uploads/statistics/documents/en-1783516058-CPI Summary_062026.xls",
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"source_catalog_id": "consumer-price-index-2026",
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"source_idno": "consumer-price-index-2026",
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|
| 141 |
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},
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"year_max": 2026,
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"year_min": 2026
|
| 144 |
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}
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