WHO Malawi AIR_15
Annual WHO Global Health Observatory time series for Malawi covering 'AIR_15' (AIR_15).
Filename
who_malawi_air_15_AIR_15.csv
Preview
Schema
Coverage
Source Linked
29
Downloads
3
Views
190
Rows Parsed
15.4 KB
File Size
09 May 2026
Updated
WHO Malawi AIR_15 is a CSV dataset from World Health Organization, ingested into the Kafukufuku Data Hub with 190 parsed rows.
Annual WHO Global Health Observatory time series for Malawi covering 'AIR_15' (AIR_15). 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 | 190 |
| Country | MWI |
| Spatial Granularity | National |
| Dataset Type | Who Gho Indicator Timeseries |
Filename
who_malawi_air_15_AIR_15.csv
| Source | World Health Organization |
| Format | CSV |
| Filename |
who_malawi_air_15_AIR_15.csv
|
| Rows Parsed | 190 |
| Dataset Type | Who Gho Indicator Timeseries |
| Indicators | 0 |
| File Size | 15.4 KB |
| Status | completed |
| Spatial Granularity | National |
| Hosted by Kafukufuku | Yes |
| Checksum MD5 |
2923370c47f83297a9fc102c209c85cf
|
| Last Updated | 09 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_air_15_AIR_15.csv
Parse
Completed
190 rows parsed
Bronze
Created
190 bronze record(s)
Silver
Reviewed
190 silver record(s)
Published
Published
48,830 datamart record(s)
| Latest Parse Job | Completed · csv · 190 rows |
| Latest Crawler Job | Not linked |
| Bronze Records | 190 |
| Silver Records | 190 |
| Published Records | 48,830 |
| Validation Issues | 0 errors, 190 warnings, 0 info |
Published Domains
Health · 48,830
Recent Parse Jobs
| Started | Parser | Status | Rows |
|---|---|---|---|
| 09 May 2026 10:25 | csv | Completed | 190 |
Terms & Citation
| Access Level | Unspecified |
| License | License not specified |
| Source URL | https://ghoapi.azureedge.net/api/AIR_15 |
Suggested Citation
World Health Organization. WHO Malawi AIR_15. Kafukufuku Data Hub, coverage n.d.. Source: https://ghoapi.azureedge.net/api/AIR_15.
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 AIR_15
|
Two-level field best treated as a yes/no or flag variable. |
high |
Text / Code | Identifier | 100.0% present | 0.0% | 190 |
58678.463
279167.736
418435.265
|
High-cardinality field that looks like an ID or code. |
indicator_code |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
AIR_15
|
Two-level field best treated as a yes/no or flag variable. |
indicator_name |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
AIR_15
|
Two-level field best treated as a yes/no or flag variable. |
low |
Text / Code | Identifier | 100.0% present | 0.0% | 190 |
40337.379
193268.192
315532.234
|
High-cardinality field that looks like an ID or code. |
value |
Text / Code | Identifier | 100.0% present | 0.0% | 190 |
49001.184
242741.333
371433.225
|
High-cardinality field that looks like an ID or code. |
year |
Year | Temporal | 100.0% present | 0.0% | 10 |
2019
2018
2017
|
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 40337.379 | 58678.463 | 2019 | 49001.184 | MWI | - | - | MWI | WHO GHO Malawi AIR_15 | - | AIR_15 | AIR_15 |
| 193268.192 | 279167.736 | 2019 | 242741.333 | MWI | - | - | MWI | WHO GHO Malawi AIR_15 | - | AIR_15 | AIR_15 |
| 315532.234 | 418435.265 | 2019 | 371433.225 | MWI | - | - | MWI | WHO GHO Malawi AIR_15 | - | AIR_15 | AIR_15 |
| 114210.904 | 165571.179 | 2019 | 143760.901 | MWI | - | - | MWI | WHO GHO Malawi AIR_15 | - | AIR_15 | AIR_15 |
| 9022.863 | 20600.34 | 2019 | 13431.856 | MWI | - | - | MWI | WHO GHO Malawi AIR_15 | - | AIR_15 | AIR_15 |
| 6484.695 | 13249.184 | 2019 | 9038.291 | MWI | - | - | MWI | WHO GHO Malawi AIR_15 | - | AIR_15 | AIR_15 |
| 26134.288 | 38422.93 | 2019 | 31964.543 | MWI | - | - | MWI | WHO GHO Malawi AIR_15 | - | AIR_15 | AIR_15 |
| 79070.37 | 113672.942 | 2019 | 98980.432 | MWI | - | - | MWI | WHO GHO Malawi AIR_15 | - | AIR_15 | AIR_15 |
Data Quality Summary
| Rows Analysed | 190 |
| 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 · 190 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 - 190 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country |
Binary | 100.0% present | 1 | 100.0% |
MWI - 190 (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 AIR_15 - 190 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
indicator_name |
Binary | 100.0% present | 1 | 100.0% |
AIR_15 - 190 (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 - 190 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
country_code |
Identifier | 100.0% present | 1 | 100.0% |
MWI - 190 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
high |
Identifier | 100.0% present | 190 | 0.5% |
113672.942 - 1 (0.5%)
117612.684 - 1 (0.5%)
1197.074 - 1 (0.5%)
121742.713 - 1 (0.5%)
1218.974 - 1 (0.5%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
indicator_code |
Identifier | 100.0% present | 1 | 100.0% |
AIR_15 - 190 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
low |
Identifier | 100.0% present | 190 | 0.5% |
1026.784 - 1 (0.5%)
104283.284 - 1 (0.5%)
1080.39 - 1 (0.5%)
114210.904 - 1 (0.5%)
117665.342 - 1 (0.5%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
value |
Identifier | 100.0% present | 190 | 0.5% |
102208.479 - 1 (0.5%)
1051.419 - 1 (0.5%)
105992.986 - 1 (0.5%)
1072.501 - 1 (0.5%)
1083.198 - 1 (0.5%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
year |
Temporal | 100.0% present | 10 | 10.0% |
2010 - 19 (10.0%)
2011 - 19 (10.0%)
2012 - 19 (10.0%)
2013 - 19 (10.0%)
2014 - 19 (10.0%)
|
Time-like field; values are better read as reporting periods than categories. |