CSV
World Bank
World Bank Malawi Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59)
Annual World Bank time series for Malawi covering the indicator 'Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59)' (SH.DTH.NCOM.1559.FE.ZS). Shared source metadata is preserved without merging separate indicators into one dataset file.
Preview
Schema
Coverage
Source Linked
0
Downloads
0
Views
4
Rows Parsed
2.1 KB
File Size
10 May 2026
Updated
World Bank Malawi Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) is a CSV dataset from World Bank, ingested into the Kafukufuku Data Hub with 4 parsed rows.
Annual World Bank time series for Malawi covering the indicator 'Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59)' (SH.DTH.NCOM.1559.FE.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 | 4 |
| Indicators | 1 |
| Country | MW |
| Spatial Granularity | National |
| Dataset Type | Worldbank Indicator Timeseries |
Filename
wb_malawi_indicator_cause_of_death_by_non_communicable_diseases_ages_15_59_female_of_female_populati_SH.DTH.NCOM.1559.FE.ZS_MW.csv
Indicators (1)
Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59)
| Source | World Bank |
| Format | CSV |
| Filename |
wb_malawi_indicator_cause_of_death_by_non_communicable_diseases_ages_15_59_female_of_female_populati_SH.DTH.NCOM.1559.FE.ZS_MW.csv
|
| Rows Parsed | 4 |
| Dataset Type | Worldbank Indicator Timeseries |
| Indicators | 1 |
| File Size | 2.1 KB |
| Status | completed |
| Spatial Granularity | National |
| Hosted by Kafukufuku | Yes |
| Checksum MD5 |
05c7f1e863d7b2dd95e57781c2a9c034
|
| Last Updated | 10 May 2026 |
Coverage Summary
| Country | MW |
| Spatial Granularity | National |
| Years Covered | Not identified |
| Distinct Years | 4 |
| 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_cause_of_death_by_non_communicable_diseases_ages_15_59_female_of_female_populati_SH.DTH.NCOM.1559.FE.ZS_MW.csv
Parse
Completed
4 rows parsed
Bronze
Created
4 bronze record(s)
Silver
Reviewed
4 silver record(s)
Published
Published
164 datamart record(s)
| Latest Parse Job | Completed · csv · 4 rows |
| Latest Crawler Job | Not linked |
| Bronze Records | 4 |
| Silver Records | 4 |
| Published Records | 164 |
| Validation Issues | 0 errors, 4 warnings, 0 info |
Published Domains
Population · 164
Recent Parse Jobs
| Started | Parser | Status | Rows |
|---|---|---|---|
| 10 May 2026 21:23 | csv | Completed | 4 |
Terms & Citation
| Access Level | Unspecified |
| License | License not specified |
| Source URL | https://api.worldbank.org/v2/country/MW/indicator/SH.DTH.NCOM.1559.FE.ZS |
Suggested Citation
World Bank. World Bank Malawi Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59). Kafukufuku Data Hub, coverage n.d.. Source: https://api.worldbank.org/v2/country/MW/indicator/SH.DTH.NCOM.1559.FE.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 |
0.6666666666666666
|
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 Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) 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 |
Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59)
|
Two-level field best treated as a yes/no or flag variable. |
indicator |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59)
|
Two-level field best treated as a yes/no or flag variable. |
indicator_code |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
SH.DTH.NCOM.1559.FE.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 |
Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59)
|
Two-level field best treated as a yes/no or flag variable. |
value |
Text | Categorical | 100.0% present | 0.0% | 4 |
40.4113521086527
41.0925426137023
31.8658108114871
|
Field is best read as a label/category rather than a numeric measure. |
year |
Year | Temporal | 100.0% present | 0.0% | 4 |
2019
2015
2010
|
Interpreted as a reporting period rather than a measure. |
Sample Rows (4)
| Unit | Year | Title | Value | Source | Country | Indicator | Obs_Status | Description | Country_Iso3 | Dataset_Name | Decimal_Places | Indicator_Code |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| - | 2019 | Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) | 40.4113521086527 | World Bank | Malawi | Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) | - | Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) | MWI | World Bank Malawi Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) Time Series | 1 | SH.DTH.NCOM.1559.FE.ZS |
| - | 2015 | Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) | 41.0925426137023 | World Bank | Malawi | Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) | - | Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) | MWI | World Bank Malawi Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) Time Series | 1 | SH.DTH.NCOM.1559.FE.ZS |
| - | 2010 | Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) | 31.8658108114871 | World Bank | Malawi | Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) | - | Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) | MWI | World Bank Malawi Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) Time Series | 1 | SH.DTH.NCOM.1559.FE.ZS |
| - | 2000 | Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) | 19.6676526460011 | World Bank | Malawi | Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) | - | Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) | MWI | World Bank Malawi Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) Time Series | 1 | SH.DTH.NCOM.1559.FE.ZS |
Data Quality Summary
| Rows Analysed | 4 |
| Columns With Data | 13 |
| Cell Completeness | 86.7% |
| Continuous Columns | 0 |
| Categorical Columns | 13 |
| Identifier-Like Columns | 2 |
| Temporal Columns | 1 |
| District Recognition | 0.0% recognised · 4 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 - 4 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country |
Binary | 100.0% present | 1 | 100.0% |
Malawi - 4 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country_iso3 |
Binary | 100.0% present | 1 | 100.0% |
MWI - 4 (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 Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) Time Series - 4 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
decimal_places |
Binary | 100.0% present | 1 | 100.0% |
1 - 4 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
description |
Binary | 100.0% present | 1 | 100.0% |
Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) - 4 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
indicator |
Binary | 100.0% present | 1 | 100.0% |
Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) - 4 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
source |
Binary | 100.0% present | 1 | 100.0% |
World Bank - 4 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
title |
Binary | 100.0% present | 1 | 100.0% |
Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59) - 4 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
value |
Categorical | 100.0% present | 4 | 25.0% |
19.6676526460011 - 1 (25.0%)
31.8658108114871 - 1 (25.0%)
40.4113521086527 - 1 (25.0%)
41.0925426137023 - 1 (25.0%)
|
Nominal field summarised by the most frequent values. |
_domain_confidence |
Identifier | 100.0% present | 1 | 100.0% |
0.6666666666666666 - 4 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
indicator_code |
Identifier | 100.0% present | 1 | 100.0% |
SH.DTH.NCOM.1559.FE.ZS - 4 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
year |
Temporal | 100.0% present | 4 | 25.0% |
2000 - 1 (25.0%)
2010 - 1 (25.0%)
2015 - 1 (25.0%)
2019 - 1 (25.0%)
|
Time-like field; values are better read as reporting periods than categories. |
All 1 Indicators
Cause of death, by non-communicable diseases, ages 15-59, female (% of female population ages 15-59)