WHO Malawi HWF_0007
Annual WHO Global Health Observatory time series for Malawi covering 'HWF_0007' (HWF_0007).
Preview
Schema
Coverage
Source Linked
4
Downloads
3
Views
10
Rows Parsed
1.5 KB
File Size
08 May 2026
Updated
WHO Malawi HWF_0007 is a CSV dataset from World Health Organization, ingested into the Kafukufuku Data Hub with 10 parsed rows.
Annual WHO Global Health Observatory time series for Malawi covering 'HWF_0007' (HWF_0007). 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 | 10 |
| Country | MWI |
| Spatial Granularity | National |
| Dataset Type | Who Gho Indicator Timeseries |
Filename
who_malawi_hwf_0007_HWF_0007.csv
| Source | World Health Organization |
| Format | CSV |
| Filename |
who_malawi_hwf_0007_HWF_0007.csv
|
| Rows Parsed | 10 |
| Dataset Type | Who Gho Indicator Timeseries |
| Indicators | 0 |
| File Size | 1.5 KB |
| Status | completed |
| Spatial Granularity | National |
| Hosted by Kafukufuku | Yes |
| Checksum MD5 |
6c32466d37cb573216bb835cb02fdedd
|
| Last Updated | 08 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_hwf_0007_HWF_0007.csv
Parse
Completed
10 rows parsed
Bronze
Created
10 bronze record(s)
Silver
Reviewed
10 silver record(s)
Published
Published
650 datamart record(s)
| Latest Parse Job | Completed · csv · 10 rows |
| Latest Crawler Job | Not linked |
| Bronze Records | 10 |
| Silver Records | 10 |
| Published Records | 650 |
| Validation Issues | 0 errors, 10 warnings, 0 info |
Published Domains
Health · 650
Recent Parse Jobs
| Started | Parser | Status | Rows |
|---|---|---|---|
| 08 May 2026 16:51 | csv | Completed | 10 |
Terms & Citation
| Access Level | Unspecified |
| License | License not specified |
| Source URL | https://ghoapi.azureedge.net/api/HWF_0007 |
Suggested Citation
World Health Organization. WHO Malawi HWF_0007. Kafukufuku Data Hub, coverage n.d.. Source: https://ghoapi.azureedge.net/api/HWF_0007.
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. |
comments |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
NHWA data portal, December 2025 update; https://apps.who.int/nhwaportal/
|
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 HWF_0007
|
Two-level field best treated as a yes/no or flag variable. |
indicator_code |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
HWF_0007
|
Two-level field best treated as a yes/no or flag variable. |
indicator_name |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
HWF_0007
|
Two-level field best treated as a yes/no or flag variable. |
value |
Integer | Measure | 100.0% present | 0.0% | 10 |
12526.0
11302.0
10435.0
|
Mostly numeric with enough variation to summarize as a measure. |
year |
Year | Temporal | 100.0% present | 0.0% | 10 |
2024
2023
2022
|
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| - | - | 2024 | 12526.0 | MWI | NHWA data portal, December 2025 update; https://apps.who.int/nhwaportal/ | - | MWI | WHO GHO Malawi HWF_0007 | - | HWF_0007 | HWF_0007 |
| - | - | 2023 | 11302.0 | MWI | NHWA data portal, December 2025 update; https://apps.who.int/nhwaportal/ | - | MWI | WHO GHO Malawi HWF_0007 | - | HWF_0007 | HWF_0007 |
| - | - | 2022 | 10435.0 | MWI | NHWA data portal, December 2025 update; https://apps.who.int/nhwaportal/ | - | MWI | WHO GHO Malawi HWF_0007 | - | HWF_0007 | HWF_0007 |
| - | - | 2020 | 13564.0 | MWI | NHWA data portal, December 2025 update; https://apps.who.int/nhwaportal/ | - | MWI | WHO GHO Malawi HWF_0007 | - | HWF_0007 | HWF_0007 |
| - | - | 2018 | 7957.0 | MWI | NHWA data portal, December 2025 update; https://apps.who.int/nhwaportal/ | - | MWI | WHO GHO Malawi HWF_0007 | - | HWF_0007 | HWF_0007 |
| - | - | 2016 | 5141.0 | MWI | NHWA data portal, December 2025 update; https://apps.who.int/nhwaportal/ | - | MWI | WHO GHO Malawi HWF_0007 | - | HWF_0007 | HWF_0007 |
| - | - | 2013 | 3593.0 | MWI | NHWA data portal, December 2025 update; https://apps.who.int/nhwaportal/ | - | MWI | WHO GHO Malawi HWF_0007 | - | HWF_0007 | HWF_0007 |
| - | - | 2009 | 4812.0 | MWI | NHWA data portal, December 2025 update; https://apps.who.int/nhwaportal/ | - | MWI | WHO GHO Malawi HWF_0007 | - | HWF_0007 | HWF_0007 |
Data Quality Summary
| Rows Analysed | 10 |
| Columns With Data | 10 |
| Cell Completeness | 71.4% |
| Continuous Columns | 1 |
| Categorical Columns | 9 |
| Identifier-Like Columns | 3 |
| Temporal Columns | 1 |
| District Recognition | 0.0% recognised · 10 unresolved rows |
| Domain Recognition | 100.0% classified · 0 unresolved rows |
| Duplicate Rows | 0 |
| Mixed-Type Columns | 0 |
| Empty Columns | 4 · low, high, 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 | 10 | 8,049 | 7,610.50 | 3,593 to 13,564 | 4,894.25 to 11,085.25 | 3,512.78 | Right-skewed |
Categorical Variables
| Column | Profile | Coverage | Distinct | Most Common Share | Top Values | Interpretation |
|---|---|---|---|---|---|---|
_domain |
Binary | 100.0% present | 1 | 100.0% |
health - 10 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
comments |
Binary | 100.0% present | 1 | 100.0% |
NHWA data portal, December 2025 update; https://apps.who.int/nhwaportal/ - 10 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country |
Binary | 100.0% present | 1 | 100.0% |
MWI - 10 (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 HWF_0007 - 10 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
indicator_name |
Binary | 100.0% present | 1 | 100.0% |
HWF_0007 - 10 (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 - 10 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
country_code |
Identifier | 100.0% present | 1 | 100.0% |
MWI - 10 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
indicator_code |
Identifier | 100.0% present | 1 | 100.0% |
HWF_0007 - 10 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
year |
Temporal | 100.0% present | 10 | 10.0% |
2004 - 1 (10.0%)
2008 - 1 (10.0%)
2009 - 1 (10.0%)
2013 - 1 (10.0%)
2016 - 1 (10.0%)
|
Time-like field; values are better read as reporting periods than categories. |