WHO Malawi MORT_100
Annual WHO Global Health Observatory time series for Malawi covering 'MORT_100' (MORT_100).
Preview
Schema
Coverage
Source Linked
1
Downloads
0
Views
946
Rows Parsed
66.6 KB
File Size
10 May 2026
Updated
WHO Malawi MORT_100 is a CSV dataset from World Health Organization, ingested into the Kafukufuku Data Hub with 946 parsed rows.
Annual WHO Global Health Observatory time series for Malawi covering 'MORT_100' (MORT_100). The source is catalogued as who gho indicator timeseries. Spatial granularity is national. It belongs to the who malawi health indicators collection. Geographic scope is MWI.
| Source | World Health Organization |
| Format | CSV |
| Rows Parsed | 946 |
| Country | MWI |
| Spatial Granularity | National |
| Dataset Type | Who Gho Indicator Timeseries |
Filename
who_malawi_mort_100_MORT_100.csv
| Source | World Health Organization |
| Format | CSV |
| Filename |
who_malawi_mort_100_MORT_100.csv
|
| Rows Parsed | 946 |
| Dataset Type | Who Gho Indicator Timeseries |
| Indicators | 0 |
| File Size | 66.6 KB |
| Status | completed |
| Spatial Granularity | National |
| Hosted by Kafukufuku | Yes |
| Checksum MD5 |
a421a3b7db5f6b8b97dc29fe6c47a4b5
|
| Last Updated | 10 May 2026 |
Coverage Summary
| Country | MWI |
| 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 · who_malawi_mort_100_MORT_100.csv
Parse
Completed
946 rows parsed
Bronze
Created
946 bronze record(s)
Silver
Reviewed
946 silver record(s)
Published
Published
26,488 datamart record(s)
| Latest Parse Job | Completed · csv · 946 rows |
| Latest Crawler Job | Not linked |
| Bronze Records | 946 |
| Silver Records | 946 |
| Published Records | 26,488 |
| Validation Issues | 0 errors, 946 warnings, 0 info |
Published Domains
Health · 26,488
Recent Parse Jobs
| Started | Parser | Status | Rows |
|---|---|---|---|
| 10 May 2026 20:30 | csv | Completed | 946 |
Terms & Citation
| Access Level | Unspecified |
| License | License not specified |
| Source URL | https://ghoapi.azureedge.net/api/MORT_100 |
Suggested Citation
World Health Organization. WHO Malawi MORT_100. Kafukufuku Data Hub, coverage n.d.. Source: https://ghoapi.azureedge.net/api/MORT_100.
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 |
health
|
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 |
MWI
|
Two-level field best treated as a yes/no or flag variable. |
country_code |
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 |
WHO GHO Malawi MORT_100
|
Two-level field best treated as a yes/no or flag variable. |
indicator_code |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
MORT_100
|
Two-level field best treated as a yes/no or flag variable. |
indicator_name |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
MORT_100
|
Two-level field best treated as a yes/no or flag variable. |
value |
Decimal | Measure | 100.0% present | 0.0% | 845 |
457.12167
3919.44853
231.04529
|
Mostly numeric with enough variation to summarize as a measure. |
year |
Year | Temporal | 100.0% present | 0.0% | 22 |
2021
2010
2009
|
Interpreted as a reporting period rather than a measure. |
Sample Rows (8)
| Low | High | Year | Value | Country | Comments | Datasource | Country_Code | Dataset_Name | Display_Value | Indicator_Code | Indicator_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| - | - | 2021 | 457.12167 | MWI | - | - | MWI | WHO GHO Malawi MORT_100 | - | MORT_100 | MORT_100 |
| - | - | 2010 | 3919.44853 | MWI | - | - | MWI | WHO GHO Malawi MORT_100 | - | MORT_100 | MORT_100 |
| - | - | 2021 | 19.08908415 | MWI | - | - | MWI | WHO GHO Malawi MORT_100 | - | MORT_100 | MORT_100 |
| - | - | 2010 | 231.04529 | MWI | - | - | MWI | WHO GHO Malawi MORT_100 | - | MORT_100 | MORT_100 |
| - | - | 2010 | 6038.220504761 | MWI | - | - | MWI | WHO GHO Malawi MORT_100 | - | MORT_100 | MORT_100 |
| - | - | 2021 | 3855.649869914 | MWI | - | - | MWI | WHO GHO Malawi MORT_100 | - | MORT_100 | MORT_100 |
| - | - | 2021 | 145.28672 | MWI | - | - | MWI | WHO GHO Malawi MORT_100 | - | MORT_100 | MORT_100 |
| - | - | 2010 | 870.11216 | MWI | - | - | MWI | WHO GHO Malawi MORT_100 | - | MORT_100 | MORT_100 |
Data Quality Summary
| Rows Analysed | 946 |
| Columns With Data | 9 |
| Cell Completeness | 64.3% |
| Continuous Columns | 1 |
| Categorical Columns | 8 |
| Identifier-Like Columns | 3 |
| Temporal Columns | 1 |
| District Recognition | 0.0% recognised · 946 unresolved rows |
| Domain Recognition | 100.0% classified · 0 unresolved rows |
| Duplicate Rows | 74 |
| Mixed-Type Columns | 0 |
| Empty Columns | 5 · low, high, comments, datasource, display_value |
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 | 845 | 2,263.47 | 1,004.87 | 0 to 16,400.13 | 115.79 to 3,372.76 | 3,017.47 | Right-skewed |
Categorical Variables
| Column | Profile | Coverage | Distinct | Most Common Share | Top Values | Interpretation |
|---|---|---|---|---|---|---|
_domain |
Binary | 100.0% present | 1 | 100.0% |
health - 946 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country |
Binary | 100.0% present | 1 | 100.0% |
MWI - 946 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
dataset_name |
Binary | 100.0% present | 1 | 100.0% |
WHO GHO Malawi MORT_100 - 946 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
indicator_name |
Binary | 100.0% present | 1 | 100.0% |
MORT_100 - 946 (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 - 946 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
country_code |
Identifier | 100.0% present | 1 | 100.0% |
MWI - 946 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
indicator_code |
Identifier | 100.0% present | 1 | 100.0% |
MORT_100 - 946 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
year |
Temporal | 100.0% present | 22 | 4.5% |
2000 - 43 (4.5%)
2001 - 43 (4.5%)
2002 - 43 (4.5%)
2003 - 43 (4.5%)
2004 - 43 (4.5%)
|
Time-like field; values are better read as reporting periods than categories. |