CSV
World Bank
World Bank Malawi Youth not in employment or education, aged 15-24, urban (% of urban youth population)
Annual World Bank time series for Malawi covering the indicator 'Youth not in employment or education, aged 15-24, urban (% of urban youth population)' (JI.UEM.NEET.UR.ZS). Shared source metadata is preserved without merging separate indicators into one dataset file.
Filename
wb_malawi_indicator_youth_not_in_employment_or_education_aged_15_24_urban_of_urban_youth_population_JI.UEM.NEET.UR.ZS_MW.csv
Preview
Schema
Coverage
Source Linked
49
Downloads
2
Views
6
Rows Parsed
2.7 KB
File Size
10 May 2026
Updated
World Bank Malawi Youth not in employment or education, aged 15-24, urban (% of urban youth population) is a CSV dataset from World Bank, ingested into the Kafukufuku Data Hub with 6 parsed rows.
Annual World Bank time series for Malawi covering the indicator 'Youth not in employment or education, aged 15-24, urban (% of urban youth population)' (JI.UEM.NEET.UR.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 | 6 |
| Indicators | 1 |
| Country | MW |
| Spatial Granularity | National |
| Dataset Type | Worldbank Indicator Timeseries |
Filename
wb_malawi_indicator_youth_not_in_employment_or_education_aged_15_24_urban_of_urban_youth_population_JI.UEM.NEET.UR.ZS_MW.csv
Indicators (1)
Youth not in employment or education, aged 15-24, urban (% of urban youth population)
| Source | World Bank |
| Format | CSV |
| Filename |
wb_malawi_indicator_youth_not_in_employment_or_education_aged_15_24_urban_of_urban_youth_population_JI.UEM.NEET.UR.ZS_MW.csv
|
| Rows Parsed | 6 |
| Dataset Type | Worldbank Indicator Timeseries |
| Indicators | 1 |
| File Size | 2.7 KB |
| Status | completed |
| Spatial Granularity | National |
| Hosted by Kafukufuku | Yes |
| Checksum MD5 |
219f31f1b56f7012508a03e51672d98c
|
| Last Updated | 10 May 2026 |
Coverage Summary
| Country | MW |
| Spatial Granularity | National |
| Years Covered | Not identified |
| Distinct Years | 6 |
| 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_youth_not_in_employment_or_education_aged_15_24_urban_of_urban_youth_population_JI.UEM.NEET.UR.ZS_MW.csv
Parse
Not run
No parse job recorded
Bronze
Created
6 bronze record(s)
Silver
Reviewed
6 silver record(s)
Published
Published
1,602 datamart record(s)
| Latest Parse Job | Not recorded |
| Latest Crawler Job | Not linked |
| Bronze Records | 6 |
| Silver Records | 6 |
| Published Records | 1,602 |
| Validation Issues | 0 errors, 6 warnings, 0 info |
Published Domains
Population · 1,602
Terms & Citation
| Access Level | Unspecified |
| License | License not specified |
| Source URL | https://api.worldbank.org/v2/country/MW/indicator/JI.UEM.NEET.UR.ZS |
Suggested Citation
World Bank. World Bank Malawi Youth not in employment or education, aged 15-24, urban (% of urban youth population). Kafukufuku Data Hub, coverage n.d.. Source: https://api.worldbank.org/v2/country/MW/indicator/JI.UEM.NEET.UR.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 |
0.6
|
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. |
dataset_name |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
World Bank Malawi Youth not in employment or education, aged 15-24, urban (% of urban youth 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 |
1
|
Two-level field best treated as a yes/no or flag variable. |
description |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
Youth not in employment or education, aged 15-24, urban (% of urban youth population)
|
Two-level field best treated as a yes/no or flag variable. |
indicator |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
Youth not in employment or education, aged 15-24, urban (% of urban youth population)
|
Two-level field best treated as a yes/no or flag variable. |
indicator_code |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
JI.UEM.NEET.UR.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 |
Youth not in employment or education, aged 15-24, urban (% of urban youth population)
|
Two-level field best treated as a yes/no or flag variable. |
value |
Decimal | Measure | 100.0% present | 0.0% | 6 |
0.208929732441902
0.192486107349396
0.107467904686928
|
Mostly numeric with enough variation to summarize as a measure. |
year |
Year | Temporal | 100.0% present | 0.0% | 6 |
2019
2016
2013
|
Interpreted as a reporting period rather than a measure. |
Sample Rows (6)
| Unit | Year | Title | Value | Source | Country | Indicator | Obs_Status | Description | Country_Iso3 | Dataset_Name | Decimal_Places | Indicator_Code |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| - | 2019 | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | 0.208929732441902 | World Bank | Malawi | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | - | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | - | World Bank Malawi Youth not in employment or education, aged 15-24, urban (% of urban youth population) Time Series | 1 | JI.UEM.NEET.UR.ZS |
| - | 2016 | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | 0.192486107349396 | World Bank | Malawi | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | - | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | - | World Bank Malawi Youth not in employment or education, aged 15-24, urban (% of urban youth population) Time Series | 1 | JI.UEM.NEET.UR.ZS |
| - | 2013 | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | 0.107467904686928 | World Bank | Malawi | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | - | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | - | World Bank Malawi Youth not in employment or education, aged 15-24, urban (% of urban youth population) Time Series | 1 | JI.UEM.NEET.UR.ZS |
| - | 2010 | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | 0.252071231603622 | World Bank | Malawi | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | - | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | - | World Bank Malawi Youth not in employment or education, aged 15-24, urban (% of urban youth population) Time Series | 1 | JI.UEM.NEET.UR.ZS |
| - | 2004 | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | 0.322015851736069 | World Bank | Malawi | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | - | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | - | World Bank Malawi Youth not in employment or education, aged 15-24, urban (% of urban youth population) Time Series | 1 | JI.UEM.NEET.UR.ZS |
| - | 1997 | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | 0.205550789833069 | World Bank | Malawi | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | - | Youth not in employment or education, aged 15-24, urban (% of urban youth population) | - | World Bank Malawi Youth not in employment or education, aged 15-24, urban (% of urban youth population) Time Series | 1 | JI.UEM.NEET.UR.ZS |
Data Quality Summary
| Rows Analysed | 6 |
| Columns With Data | 12 |
| Cell Completeness | 80.0% |
| Continuous Columns | 1 |
| Categorical Columns | 11 |
| Identifier-Like Columns | 2 |
| Temporal Columns | 1 |
| District Recognition | 0.0% recognised · 6 unresolved rows |
| Domain Recognition | 100.0% classified · 0 unresolved rows |
| Duplicate Rows | 0 |
| Mixed-Type Columns | 0 |
| Empty Columns | 3 · unit, obs_status, country_iso3 |
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.
Continuous Variables
| Column | Coverage | Distinct | Mean | Median | Range | Middle 50% | Std Dev | Shape |
|---|---|---|---|---|---|---|---|---|
value |
100.0% present | 6 | 0.21 | 0.21 | 0.11 to 0.32 | 0.20 to 0.24 | 0.06 | Right-skewed |
Categorical Variables
| Column | Profile | Coverage | Distinct | Most Common Share | Top Values | Interpretation |
|---|---|---|---|---|---|---|
_domain |
Binary | 100.0% present | 1 | 100.0% |
population - 6 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country |
Binary | 100.0% present | 1 | 100.0% |
Malawi - 6 (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 Youth not in employment or education, aged 15-24, urban (% of urban youth population) Time Series - 6 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
decimal_places |
Binary | 100.0% present | 1 | 100.0% |
1 - 6 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
description |
Binary | 100.0% present | 1 | 100.0% |
Youth not in employment or education, aged 15-24, urban (% of urban youth population) - 6 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
indicator |
Binary | 100.0% present | 1 | 100.0% |
Youth not in employment or education, aged 15-24, urban (% of urban youth population) - 6 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
source |
Binary | 100.0% present | 1 | 100.0% |
World Bank - 6 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
title |
Binary | 100.0% present | 1 | 100.0% |
Youth not in employment or education, aged 15-24, urban (% of urban youth population) - 6 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
_domain_confidence |
Identifier | 100.0% present | 1 | 100.0% |
0.6 - 6 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
indicator_code |
Identifier | 100.0% present | 1 | 100.0% |
JI.UEM.NEET.UR.ZS - 6 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
year |
Temporal | 100.0% present | 6 | 16.7% |
1997 - 1 (16.7%)
2004 - 1 (16.7%)
2010 - 1 (16.7%)
2013 - 1 (16.7%)
2016 - 1 (16.7%)
|
Time-like field; values are better read as reporting periods than categories. |
All 1 Indicators
Youth not in employment or education, aged 15-24, urban (% of urban youth population)