WHO Malawi WSH_30
Annual WHO Global Health Observatory time series for Malawi covering 'WSH_30' (WSH_30).
Filename
who_malawi_wsh_30_WSH_30.csv
Preview
Schema
Coverage
Source Linked
15
Downloads
17
Views
4
Rows Parsed
437.0 B
File Size
26 May 2026
Updated
WHO Malawi WSH_30 is a CSV dataset from World Health Organization, ingested into the Kafukufuku Data Hub with 4 parsed rows.
Annual WHO Global Health Observatory time series for Malawi covering 'WSH_30' (WSH_30). 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 | 4 |
| Country | MWI |
| Spatial Granularity | National |
| Dataset Type | Who Gho Indicator Timeseries |
Filename
who_malawi_wsh_30_WSH_30.csv
| Source | World Health Organization |
| Format | CSV |
| Filename |
who_malawi_wsh_30_WSH_30.csv
|
| Rows Parsed | 4 |
| Dataset Type | Who Gho Indicator Timeseries |
| Indicators | 0 |
| File Size | 437.0 B |
| Status | completed |
| Spatial Granularity | National |
| Hosted by Kafukufuku | Yes |
| Checksum MD5 |
d6b8861a5210cb0e7a885088b61b92e1
|
| Last Updated | 26 May 2026 |
Coverage Summary
| Country | MWI |
| Spatial Granularity | National |
| Years Covered | Not identified |
| Distinct Years | 1 |
| 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_wsh_30_WSH_30.csv
Parse
Completed
4 rows parsed
Bronze
Created
4 bronze record(s)
Silver
Reviewed
4 silver record(s)
Published
Published
340 datamart record(s)
| Latest Parse Job | Completed · csv · 4 rows |
| Latest Crawler Job | Not linked |
| Bronze Records | 4 |
| Silver Records | 4 |
| Published Records | 340 |
| Validation Issues | 0 errors, 4 warnings, 0 info |
Published Domains
Health · 340
Recent Parse Jobs
| Started | Parser | Status | Rows |
|---|---|---|---|
| 26 May 2026 13:05 | csv | Completed | 4 |
Terms & Citation
| Access Level | Unspecified |
| License | License not specified |
| Source URL | https://ghoapi.azureedge.net/api/WSH_30 |
Suggested Citation
World Health Organization. WHO Malawi WSH_30. Kafukufuku Data Hub, coverage n.d.. Source: https://ghoapi.azureedge.net/api/WSH_30.
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 WSH_30
|
Two-level field best treated as a yes/no or flag variable. |
high |
Integer | Categorical Numeric | 100.0% present | 0.0% | 4 |
143134.0
196433.0
316332.0
|
Numeric values appear to encode groups or ordered categories. |
indicator_code |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
WSH_30
|
Two-level field best treated as a yes/no or flag variable. |
indicator_name |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
WSH_30
|
Two-level field best treated as a yes/no or flag variable. |
low |
Integer | Categorical Numeric | 100.0% present | 0.0% | 4 |
72823.0
115469.0
208317.0
|
Numeric values appear to encode groups or ordered categories. |
value |
Integer | Categorical Numeric | 100.0% present | 0.0% | 4 |
103609.0
152179.0
258468.0
|
Numeric values appear to encode groups or ordered categories. |
year |
Year | Temporal | 100.0% present | 0.0% | 1 |
2019
|
Interpreted as a reporting period rather than a measure. |
Sample Rows (4)
| Low | High | Year | Value | Country | Comments | Datasource | Country_Code | Dataset_Name | Display_Value | Indicator_Code | Indicator_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 72823.0 | 143134.0 | 2019 | 103609.0 | MWI | - | - | MWI | WHO GHO Malawi WSH_30 | - | WSH_30 | WSH_30 |
| 115469.0 | 196433.0 | 2019 | 152179.0 | MWI | - | - | MWI | WHO GHO Malawi WSH_30 | - | WSH_30 | WSH_30 |
| 208317.0 | 316332.0 | 2019 | 258468.0 | MWI | - | - | MWI | WHO GHO Malawi WSH_30 | - | WSH_30 | WSH_30 |
| 81562.0 | 137969.0 | 2019 | 106289.0 | MWI | - | - | MWI | WHO GHO Malawi WSH_30 | - | WSH_30 | WSH_30 |
Data Quality Summary
| Rows Analysed | 4 |
| Columns With Data | 11 |
| Cell Completeness | 78.6% |
| Continuous Columns | 0 |
| Categorical Columns | 11 |
| Identifier-Like Columns | 3 |
| 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 | 3 · 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.
Categorical Variables
| Column | Profile | Coverage | Distinct | Most Common Share | Top Values | Interpretation |
|---|---|---|---|---|---|---|
_domain |
Binary | 100.0% present | 1 | 100.0% |
health - 4 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country |
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% |
WHO GHO Malawi WSH_30 - 4 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
indicator_name |
Binary | 100.0% present | 1 | 100.0% |
WSH_30 - 4 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
high |
Categorical | 100.0% present | 4 | 25.0% |
137969.0 - 1 (25.0%)
143134.0 - 1 (25.0%)
196433.0 - 1 (25.0%)
316332.0 - 1 (25.0%)
|
Nominal field summarised by the most frequent values. |
low |
Categorical | 100.0% present | 4 | 25.0% |
115469.0 - 1 (25.0%)
208317.0 - 1 (25.0%)
72823.0 - 1 (25.0%)
81562.0 - 1 (25.0%)
|
Nominal field summarised by the most frequent values. |
value |
Categorical | 100.0% present | 4 | 25.0% |
103609.0 - 1 (25.0%)
106289.0 - 1 (25.0%)
152179.0 - 1 (25.0%)
258468.0 - 1 (25.0%)
|
Nominal field summarised by the most frequent values. |
_domain_confidence |
Identifier | 100.0% present | 1 | 100.0% |
1.0 - 4 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
country_code |
Identifier | 100.0% present | 1 | 100.0% |
MWI - 4 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
indicator_code |
Identifier | 100.0% present | 1 | 100.0% |
WSH_30 - 4 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
year |
Temporal | 100.0% present | 1 | 100.0% |
2019 - 4 (100.0%)
|
Time-like field; values are better read as reporting periods than categories. |