CSV
World Bank
World Bank Malawi Ores and metals imports (% of merchandise imports)
Annual World Bank time series for Malawi covering the indicator 'Ores and metals imports (% of merchandise imports)' (TM.VAL.MMTL.ZS.UN). Shared source metadata is preserved without merging separate indicators into one dataset file.
Preview
Schema
Coverage
Source Linked
0
Downloads
0
Views
52
Rows Parsed
15.4 KB
File Size
10 May 2026
Updated
World Bank Malawi Ores and metals imports (% of merchandise imports) is a CSV dataset from World Bank, ingested into the Kafukufuku Data Hub with 52 parsed rows.
Annual World Bank time series for Malawi covering the indicator 'Ores and metals imports (% of merchandise imports)' (TM.VAL.MMTL.ZS.UN). Shared source metadata is preserved without merging separate indicators into one dataset file. The source is catalogued as worldbank indicator timeseries. Spatial granularity is national. It belongs to the worldbank malawi indicators collection. 1 indicators were detected during parsing. Geographic scope is MW.
| Source | World Bank |
| Format | CSV |
| Rows Parsed | 52 |
| Indicators | 1 |
| Country | MW |
| Spatial Granularity | National |
| Dataset Type | Worldbank Indicator Timeseries |
Filename
wb_malawi_indicator_ores_and_metals_imports_of_merchandise_imports_TM.VAL.MMTL.ZS.UN_MW.csv
Indicators (1)
Ores and metals imports (% of merchandise imports)
| Source | World Bank |
| Format | CSV |
| Filename |
wb_malawi_indicator_ores_and_metals_imports_of_merchandise_imports_TM.VAL.MMTL.ZS.UN_MW.csv
|
| Rows Parsed | 52 |
| Dataset Type | Worldbank Indicator Timeseries |
| Indicators | 1 |
| File Size | 15.4 KB |
| Status | completed |
| Spatial Granularity | National |
| Hosted by Kafukufuku | Yes |
| Checksum MD5 |
d43df2f55030512f13a5e3a95c763102
|
| Last Updated | 10 May 2026 |
Coverage Summary
| Country | MW |
| Spatial Granularity | National |
| Years Covered | Not identified |
| Distinct Years | 10 |
| Districts Identified | 0 |
| Regions Identified | 0 |
No district or region labels were identified from the parsed rows.
Pipeline Lineage
Raw file
Completed
CSV · wb_malawi_indicator_ores_and_metals_imports_of_merchandise_imports_TM.VAL.MMTL.ZS.UN_MW.csv
Parse
Completed
52 rows parsed
Bronze
Created
52 bronze record(s)
Silver
Reviewed
52 silver record(s)
Published
Published
1,352 datamart record(s)
| Latest Parse Job | Completed · csv · 52 rows |
| Latest Crawler Job | Not linked |
| Bronze Records | 52 |
| Silver Records | 52 |
| Published Records | 1,352 |
| Validation Issues | 0 errors, 52 warnings, 0 info |
Published Domains
Economics · 1,352
Recent Parse Jobs
| Started | Parser | Status | Rows |
|---|---|---|---|
| 10 May 2026 21:31 | csv | Completed | 52 |
Terms & Citation
| Access Level | Unspecified |
| License | License not specified |
| Source URL | https://api.worldbank.org/v2/country/MW/indicator/TM.VAL.MMTL.ZS.UN |
Suggested Citation
World Bank. World Bank Malawi Ores and metals imports (% of merchandise imports). Kafukufuku Data Hub, coverage n.d.. Source: https://api.worldbank.org/v2/country/MW/indicator/TM.VAL.MMTL.ZS.UN.
No explicit license was captured during ingestion. Reuse should be checked against the original publisher terms.
The canonical source URL points to the upstream publisher or download location.
Schema
| Field | Type | Profile | Coverage | Missing | Distinct | Examples | Notes |
|---|---|---|---|---|---|---|---|
_domain |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
economics
|
Two-level field best treated as a yes/no or flag variable. |
_domain_confidence |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
1.0
|
Two-level field best treated as a yes/no or flag variable. |
country |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
Malawi
|
Two-level field best treated as a yes/no or flag variable. |
country_iso3 |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
MWI
|
Two-level field best treated as a yes/no or flag variable. |
dataset_name |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
World Bank Malawi Ores and metals imports (% of merchandise imports) Time Series
|
Two-level field best treated as a yes/no or flag variable. |
decimal_places |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
0
|
Two-level field best treated as a yes/no or flag variable. |
description |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
Ores and metals imports (% of merchandise imports)
|
Two-level field best treated as a yes/no or flag variable. |
indicator |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
Ores and metals imports (% of merchandise imports)
|
Two-level field best treated as a yes/no or flag variable. |
indicator_code |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
TM.VAL.MMTL.ZS.UN
|
Two-level field best treated as a yes/no or flag variable. |
source |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
World Bank
|
Two-level field best treated as a yes/no or flag variable. |
title |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
Ores and metals imports (% of merchandise imports)
|
Two-level field best treated as a yes/no or flag variable. |
value |
Text / Code | Identifier | 100.0% present | 0.0% | 52 |
0.951614308242422
0.990423955545421
0.61392804832712
|
High-cardinality field that looks like an ID or code. |
year |
Year | Temporal | 100.0% present | 0.0% | 52 |
2024
2023
2022
|
Interpreted as a reporting period rather than a measure. |
Sample Rows (8)
| Unit | Year | Title | Value | Source | Country | Indicator | Obs_Status | Description | Country_Iso3 | Dataset_Name | Decimal_Places | Indicator_Code |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| - | 2024 | Ores and metals imports (% of merchandise imports) | 0.951614308242422 | World Bank | Malawi | Ores and metals imports (% of merchandise imports) | - | Ores and metals imports (% of merchandise imports) | MWI | World Bank Malawi Ores and metals imports (% of merchandise imports) Time Series | 0 | TM.VAL.MMTL.ZS.UN |
| - | 2023 | Ores and metals imports (% of merchandise imports) | 0.990423955545421 | World Bank | Malawi | Ores and metals imports (% of merchandise imports) | - | Ores and metals imports (% of merchandise imports) | MWI | World Bank Malawi Ores and metals imports (% of merchandise imports) Time Series | 0 | TM.VAL.MMTL.ZS.UN |
| - | 2022 | Ores and metals imports (% of merchandise imports) | 0.61392804832712 | World Bank | Malawi | Ores and metals imports (% of merchandise imports) | - | Ores and metals imports (% of merchandise imports) | MWI | World Bank Malawi Ores and metals imports (% of merchandise imports) Time Series | 0 | TM.VAL.MMTL.ZS.UN |
| - | 2021 | Ores and metals imports (% of merchandise imports) | 0.947655487591709 | World Bank | Malawi | Ores and metals imports (% of merchandise imports) | - | Ores and metals imports (% of merchandise imports) | MWI | World Bank Malawi Ores and metals imports (% of merchandise imports) Time Series | 0 | TM.VAL.MMTL.ZS.UN |
| - | 2020 | Ores and metals imports (% of merchandise imports) | 0.995647385305879 | World Bank | Malawi | Ores and metals imports (% of merchandise imports) | - | Ores and metals imports (% of merchandise imports) | MWI | World Bank Malawi Ores and metals imports (% of merchandise imports) Time Series | 0 | TM.VAL.MMTL.ZS.UN |
| - | 2019 | Ores and metals imports (% of merchandise imports) | 0.840144708415204 | World Bank | Malawi | Ores and metals imports (% of merchandise imports) | - | Ores and metals imports (% of merchandise imports) | MWI | World Bank Malawi Ores and metals imports (% of merchandise imports) Time Series | 0 | TM.VAL.MMTL.ZS.UN |
| - | 2018 | Ores and metals imports (% of merchandise imports) | 0.885189255466257 | World Bank | Malawi | Ores and metals imports (% of merchandise imports) | - | Ores and metals imports (% of merchandise imports) | MWI | World Bank Malawi Ores and metals imports (% of merchandise imports) Time Series | 0 | TM.VAL.MMTL.ZS.UN |
| - | 2017 | Ores and metals imports (% of merchandise imports) | 0.910905381359494 | World Bank | Malawi | Ores and metals imports (% of merchandise imports) | - | Ores and metals imports (% of merchandise imports) | MWI | World Bank Malawi Ores and metals imports (% of merchandise imports) Time Series | 0 | TM.VAL.MMTL.ZS.UN |
Data Quality Summary
| Rows Analysed | 52 |
| Columns With Data | 13 |
| Cell Completeness | 86.7% |
| Continuous Columns | 0 |
| Categorical Columns | 13 |
| Identifier-Like Columns | 4 |
| Temporal Columns | 0 |
| District Recognition | 0.0% recognised · 52 unresolved rows |
| Domain Recognition | 100.0% classified · 0 unresolved rows |
| Duplicate Rows | 0 |
| Mixed-Type Columns | 0 |
| Empty Columns | 2 · unit, obs_status |
These checks summarize coverage, consistency, and variable structure from parsed rows. Identifier-like columns and year/code fields are treated as categorical so averages are not shown where they would be misleading. Malawi-specific district/domain recognition rates are included to show how much of the file the pipeline can place and classify reliably.
Categorical Variables
| Column | Profile | Coverage | Distinct | Most Common Share | Top Values | Interpretation |
|---|---|---|---|---|---|---|
_domain |
Binary | 100.0% present | 1 | 100.0% |
economics - 52 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country |
Binary | 100.0% present | 1 | 100.0% |
Malawi - 52 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country_iso3 |
Binary | 100.0% present | 1 | 100.0% |
MWI - 52 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
dataset_name |
Binary | 100.0% present | 1 | 100.0% |
World Bank Malawi Ores and metals imports (% of merchandise imports) Time Series - 52 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
decimal_places |
Binary | 100.0% present | 1 | 100.0% |
0 - 52 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
description |
Binary | 100.0% present | 1 | 100.0% |
Ores and metals imports (% of merchandise imports) - 52 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
indicator |
Binary | 100.0% present | 1 | 100.0% |
Ores and metals imports (% of merchandise imports) - 52 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
source |
Binary | 100.0% present | 1 | 100.0% |
World Bank - 52 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
title |
Binary | 100.0% present | 1 | 100.0% |
Ores and metals imports (% of merchandise imports) - 52 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
_domain_confidence |
Identifier | 100.0% present | 1 | 100.0% |
1.0 - 52 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
indicator_code |
Identifier | 100.0% present | 1 | 100.0% |
TM.VAL.MMTL.ZS.UN - 52 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
value |
Identifier | 100.0% present | 52 | 1.9% |
0.537915863741322 - 1 (1.9%)
0.61392804832712 - 1 (1.9%)
0.616361570805873 - 1 (1.9%)
0.736951391227371 - 1 (1.9%)
0.742522615720194 - 1 (1.9%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
year |
Identifier | 100.0% present | 52 | 1.9% |
1966 - 1 (1.9%)
1967 - 1 (1.9%)
1968 - 1 (1.9%)
1969 - 1 (1.9%)
1970 - 1 (1.9%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
All 1 Indicators
Ores and metals imports (% of merchandise imports)