WHO Malawi fpsmowho
Annual WHO Global Health Observatory time series for Malawi covering 'fpsmowho' (fpsmowho).
Filename
who_malawi_fpsmowho_fpsmowho.csv
Preview
Schema
Coverage
Source Linked
7
Downloads
2
Views
178
Rows Parsed
15.0 KB
File Size
09 May 2026
Updated
WHO Malawi fpsmowho is a CSV dataset from World Health Organization, ingested into the Kafukufuku Data Hub with 178 parsed rows.
Annual WHO Global Health Observatory time series for Malawi covering 'fpsmowho' (fpsmowho). 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 | 178 |
| Country | MWI |
| Spatial Granularity | National |
| Dataset Type | Who Gho Indicator Timeseries |
Filename
who_malawi_fpsmowho_fpsmowho.csv
| Source | World Health Organization |
| Format | CSV |
| Filename |
who_malawi_fpsmowho_fpsmowho.csv
|
| Rows Parsed | 178 |
| Dataset Type | Who Gho Indicator Timeseries |
| Indicators | 0 |
| File Size | 15.0 KB |
| Status | completed |
| Spatial Granularity | National |
| Hosted by Kafukufuku | Yes |
| Checksum MD5 |
3634f8de6c3e832ddcac3965eca22d51
|
| Last Updated | 09 May 2026 |
Coverage Summary
| Country | MWI |
| 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 · who_malawi_fpsmowho_fpsmowho.csv
Parse
Not run
No parse job recorded
Bronze
Created
178 bronze record(s)
Silver
Reviewed
178 silver record(s)
Published
Published
59,048 datamart record(s)
| Latest Parse Job | Not recorded |
| Latest Crawler Job | Not linked |
| Bronze Records | 178 |
| Silver Records | 178 |
| Published Records | 59,048 |
| Validation Issues | 0 errors, 178 warnings, 0 info |
Published Domains
Health · 59,048
Terms & Citation
| Access Level | Unspecified |
| License | License not specified |
| Source URL | https://ghoapi.azureedge.net/api/fpsmowho |
Suggested Citation
World Health Organization. WHO Malawi fpsmowho. Kafukufuku Data Hub, coverage n.d.. Source: https://ghoapi.azureedge.net/api/fpsmowho.
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 fpsmowho
|
Two-level field best treated as a yes/no or flag variable. |
high |
Text / Code | Identifier | 100.0% present | 0.0% | 178 |
84.36635
82.8769
81.69109
|
High-cardinality field that looks like an ID or code. |
indicator_code |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
fpsmowho
|
Two-level field best treated as a yes/no or flag variable. |
indicator_name |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
fpsmowho
|
Two-level field best treated as a yes/no or flag variable. |
low |
Text / Code | Identifier | 100.0% present | 0.0% | 178 |
79.02885
78.57889
79.1189
|
High-cardinality field that looks like an ID or code. |
value |
Text / Code | Identifier | 100.0% present | 0.0% | 178 |
81.84979
80.81954
80.43696
|
High-cardinality field that looks like an ID or code. |
year |
Year | Temporal | 100.0% present | 0.0% | 6 |
2019
2015
2013
|
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 79.02885 | 84.36635 | 2019 | 81.84979 | MWI | - | - | MWI | WHO GHO Malawi fpsmowho | - | fpsmowho | fpsmowho |
| 78.57889 | 82.8769 | 2019 | 80.81954 | MWI | - | - | MWI | WHO GHO Malawi fpsmowho | - | fpsmowho | fpsmowho |
| 79.1189 | 81.69109 | 2019 | 80.43696 | MWI | - | - | MWI | WHO GHO Malawi fpsmowho | - | fpsmowho | fpsmowho |
| 75.94281 | 78.73627 | 2019 | 77.37002 | MWI | - | - | MWI | WHO GHO Malawi fpsmowho | - | fpsmowho | fpsmowho |
| 63.8854 | 73.09145 | 2019 | 68.67203 | MWI | - | - | MWI | WHO GHO Malawi fpsmowho | - | fpsmowho | fpsmowho |
| 78.22328 | 83.94477 | 2019 | 81.25135 | MWI | - | - | MWI | WHO GHO Malawi fpsmowho | - | fpsmowho | fpsmowho |
| 77.55531 | 81.74645 | 2019 | 79.73155 | MWI | - | - | MWI | WHO GHO Malawi fpsmowho | - | fpsmowho | fpsmowho |
| 79.33595 | 81.59077 | 2019 | 80.48803 | MWI | - | - | MWI | WHO GHO Malawi fpsmowho | - | fpsmowho | fpsmowho |
Data Quality Summary
| Rows Analysed | 178 |
| Columns With Data | 11 |
| Cell Completeness | 78.6% |
| Continuous Columns | 0 |
| Categorical Columns | 11 |
| Identifier-Like Columns | 6 |
| Temporal Columns | 1 |
| District Recognition | 0.0% recognised · 178 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 - 178 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country |
Binary | 100.0% present | 1 | 100.0% |
MWI - 178 (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 fpsmowho - 178 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
indicator_name |
Binary | 100.0% present | 1 | 100.0% |
fpsmowho - 178 (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 - 178 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
country_code |
Identifier | 100.0% present | 1 | 100.0% |
MWI - 178 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
high |
Identifier | 100.0% present | 178 | 0.6% |
35.22826 - 1 (0.6%)
36.86921 - 1 (0.6%)
38.35365 - 1 (0.6%)
41.00446 - 1 (0.6%)
41.47462 - 1 (0.6%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
indicator_code |
Identifier | 100.0% present | 1 | 100.0% |
fpsmowho - 178 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
low |
Identifier | 100.0% present | 178 | 0.6% |
24.17414 - 1 (0.6%)
27.37963 - 1 (0.6%)
28.72623 - 1 (0.6%)
30.18885 - 1 (0.6%)
30.45582 - 1 (0.6%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
value |
Identifier | 100.0% present | 178 | 0.6% |
29.3989 - 1 (0.6%)
31.93764 - 1 (0.6%)
34.48868 - 1 (0.6%)
35.50553 - 1 (0.6%)
35.99881 - 1 (0.6%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
year |
Temporal | 100.0% present | 6 | 29.8% |
2013 - 53 (29.8%)
2000 - 25 (14.0%)
2004 - 25 (14.0%)
2010 - 25 (14.0%)
2015 - 25 (14.0%)
|
Time-like field; values are better read as reporting periods than categories. |