CSV
World Bank
World Bank Malawi Population in urban agglomerations of more than 1 million (% of total population)
Annual World Bank time series for Malawi covering the indicator 'Population in urban agglomerations of more than 1 million (% of total population)' (EN.URB.MCTY.TL.ZS). Shared source metadata is preserved without merging separate indicators into one dataset file.
Preview
Schema
Coverage
Source Linked
47
Downloads
3
Views
66
Rows Parsed
27.5 KB
File Size
10 May 2026
Updated
World Bank Malawi Population in urban agglomerations of more than 1 million (% of total population) is a CSV dataset from World Bank, ingested into the Kafukufuku Data Hub with 66 parsed rows.
Annual World Bank time series for Malawi covering the indicator 'Population in urban agglomerations of more than 1 million (% of total population)' (EN.URB.MCTY.TL.ZS). 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 | 66 |
| Indicators | 1 |
| Country | MW |
| Spatial Granularity | National |
| Dataset Type | Worldbank Indicator Timeseries |
Filename
wb_malawi_indicator_population_in_urban_agglomerations_of_more_than_1_million_of_total_population_EN.URB.MCTY.TL.ZS_MW.csv
Indicators (1)
Population in urban agglomerations of more than 1 million (% of total population)
| Source | World Bank |
| Format | CSV |
| Filename |
wb_malawi_indicator_population_in_urban_agglomerations_of_more_than_1_million_of_total_population_EN.URB.MCTY.TL.ZS_MW.csv
|
| Rows Parsed | 66 |
| Dataset Type | Worldbank Indicator Timeseries |
| Indicators | 1 |
| File Size | 27.5 KB |
| Status | completed |
| Spatial Granularity | National |
| Hosted by Kafukufuku | Yes |
| Checksum MD5 |
0ba1b9bd2b68724188d1c9e6d22cbccd
|
| 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_population_in_urban_agglomerations_of_more_than_1_million_of_total_population_EN.URB.MCTY.TL.ZS_MW.csv
Parse
Completed
66 rows parsed
Bronze
Created
66 bronze record(s)
Silver
Reviewed
66 silver record(s)
Published
Published
264 datamart record(s)
| Latest Parse Job | Completed · csv · 66 rows |
| Latest Crawler Job | Not linked |
| Bronze Records | 66 |
| Silver Records | 66 |
| Published Records | 264 |
| Validation Issues | 0 errors, 66 warnings, 0 info |
Published Domains
Population · 264
Recent Parse Jobs
| Started | Parser | Status | Rows |
|---|---|---|---|
| 10 May 2026 20:53 | csv | Completed | 66 |
Terms & Citation
| Access Level | Unspecified |
| License | License not specified |
| Source URL | https://api.worldbank.org/v2/country/MW/indicator/EN.URB.MCTY.TL.ZS |
Suggested Citation
World Bank. World Bank Malawi Population in urban agglomerations of more than 1 million (% of total population). Kafukufuku Data Hub, coverage n.d.. Source: https://api.worldbank.org/v2/country/MW/indicator/EN.URB.MCTY.TL.ZS.
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 |
population
|
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 Population in urban agglomerations of more than 1 million (% of total population) 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 |
Population in urban agglomerations of more than 1 million (% of total population)
|
Two-level field best treated as a yes/no or flag variable. |
indicator |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
Population in urban agglomerations of more than 1 million (% of total population)
|
Two-level field best treated as a yes/no or flag variable. |
indicator_code |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
EN.URB.MCTY.TL.ZS
|
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 |
Population in urban agglomerations of more than 1 million (% of total population)
|
Two-level field best treated as a yes/no or flag variable. |
value |
Text / Code | Identifier | 100.0% present | 0.0% | 66 |
6.27024881032331
6.1559842709997
6.04760638048354
|
High-cardinality field that looks like an ID or code. |
year |
Year | Temporal | 100.0% present | 0.0% | 66 |
2025
2024
2023
|
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| - | 2025 | Population in urban agglomerations of more than 1 million (% of total population) | 6.27024881032331 | World Bank | Malawi | Population in urban agglomerations of more than 1 million (% of total population) | - | Population in urban agglomerations of more than 1 million (% of total population) | MWI | World Bank Malawi Population in urban agglomerations of more than 1 million (% of total population) Time Series | 0 | EN.URB.MCTY.TL.ZS |
| - | 2024 | Population in urban agglomerations of more than 1 million (% of total population) | 6.1559842709997 | World Bank | Malawi | Population in urban agglomerations of more than 1 million (% of total population) | - | Population in urban agglomerations of more than 1 million (% of total population) | MWI | World Bank Malawi Population in urban agglomerations of more than 1 million (% of total population) Time Series | 0 | EN.URB.MCTY.TL.ZS |
| - | 2023 | Population in urban agglomerations of more than 1 million (% of total population) | 6.04760638048354 | World Bank | Malawi | Population in urban agglomerations of more than 1 million (% of total population) | - | Population in urban agglomerations of more than 1 million (% of total population) | MWI | World Bank Malawi Population in urban agglomerations of more than 1 million (% of total population) Time Series | 0 | EN.URB.MCTY.TL.ZS |
| - | 2022 | Population in urban agglomerations of more than 1 million (% of total population) | 5.94263777517015 | World Bank | Malawi | Population in urban agglomerations of more than 1 million (% of total population) | - | Population in urban agglomerations of more than 1 million (% of total population) | MWI | World Bank Malawi Population in urban agglomerations of more than 1 million (% of total population) Time Series | 0 | EN.URB.MCTY.TL.ZS |
| - | 2021 | Population in urban agglomerations of more than 1 million (% of total population) | 5.84054936590331 | World Bank | Malawi | Population in urban agglomerations of more than 1 million (% of total population) | - | Population in urban agglomerations of more than 1 million (% of total population) | MWI | World Bank Malawi Population in urban agglomerations of more than 1 million (% of total population) Time Series | 0 | EN.URB.MCTY.TL.ZS |
| - | 2020 | Population in urban agglomerations of more than 1 million (% of total population) | 5.7424307951392 | World Bank | Malawi | Population in urban agglomerations of more than 1 million (% of total population) | - | Population in urban agglomerations of more than 1 million (% of total population) | MWI | World Bank Malawi Population in urban agglomerations of more than 1 million (% of total population) Time Series | 0 | EN.URB.MCTY.TL.ZS |
| - | 2019 | Population in urban agglomerations of more than 1 million (% of total population) | 5.64863349422404 | World Bank | Malawi | Population in urban agglomerations of more than 1 million (% of total population) | - | Population in urban agglomerations of more than 1 million (% of total population) | MWI | World Bank Malawi Population in urban agglomerations of more than 1 million (% of total population) Time Series | 0 | EN.URB.MCTY.TL.ZS |
| - | 2018 | Population in urban agglomerations of more than 1 million (% of total population) | 5.55718101620993 | World Bank | Malawi | Population in urban agglomerations of more than 1 million (% of total population) | - | Population in urban agglomerations of more than 1 million (% of total population) | MWI | World Bank Malawi Population in urban agglomerations of more than 1 million (% of total population) Time Series | 0 | EN.URB.MCTY.TL.ZS |
Data Quality Summary
| Rows Analysed | 66 |
| 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 · 66 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% |
population - 66 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country |
Binary | 100.0% present | 1 | 100.0% |
Malawi - 66 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country_iso3 |
Binary | 100.0% present | 1 | 100.0% |
MWI - 66 (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 Population in urban agglomerations of more than 1 million (% of total population) Time Series - 66 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
decimal_places |
Binary | 100.0% present | 1 | 100.0% |
0 - 66 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
description |
Binary | 100.0% present | 1 | 100.0% |
Population in urban agglomerations of more than 1 million (% of total population) - 66 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
indicator |
Binary | 100.0% present | 1 | 100.0% |
Population in urban agglomerations of more than 1 million (% of total population) - 66 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
source |
Binary | 100.0% present | 1 | 100.0% |
World Bank - 66 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
title |
Binary | 100.0% present | 1 | 100.0% |
Population in urban agglomerations of more than 1 million (% of total population) - 66 (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 - 66 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
indicator_code |
Identifier | 100.0% present | 1 | 100.0% |
EN.URB.MCTY.TL.ZS - 66 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
value |
Identifier | 100.0% present | 66 | 1.5% |
0.291554832318762 - 1 (1.5%)
0.314463546827993 - 1 (1.5%)
0.339095086129416 - 1 (1.5%)
0.365542316817356 - 1 (1.5%)
0.394065501631724 - 1 (1.5%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
year |
Identifier | 100.0% present | 66 | 1.5% |
1960 - 1 (1.5%)
1961 - 1 (1.5%)
1962 - 1 (1.5%)
1963 - 1 (1.5%)
1964 - 1 (1.5%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
All 1 Indicators
Population in urban agglomerations of more than 1 million (% of total population)