WHO Malawi AIR_42
Annual WHO Global Health Observatory time series for Malawi covering 'AIR_42' (AIR_42).
Preview
Schema
Coverage
Source Linked
0
Downloads
1
Views
180
Rows Parsed
12.8 KB
File Size
09 May 2026
Updated
WHO Malawi AIR_42 is a CSV dataset from World Health Organization, ingested into the Kafukufuku Data Hub with 180 parsed rows.
Annual WHO Global Health Observatory time series for Malawi covering 'AIR_42' (AIR_42). 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 | 180 |
| Country | MWI |
| Spatial Granularity | National |
| Dataset Type | Who Gho Indicator Timeseries |
Filename
who_malawi_air_42_AIR_42.csv
| Source | World Health Organization |
| Format | CSV |
| Filename |
who_malawi_air_42_AIR_42.csv
|
| Rows Parsed | 180 |
| Dataset Type | Who Gho Indicator Timeseries |
| Indicators | 0 |
| File Size | 12.8 KB |
| Status | completed |
| Spatial Granularity | National |
| Hosted by Kafukufuku | Yes |
| Checksum MD5 |
e5fb15faa3c3f389d04fecdd3b606d1a
|
| 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_42_AIR_42.csv
Parse
Completed
180 rows parsed
Bronze
Created
180 bronze record(s)
Silver
Reviewed
180 silver record(s)
Published
Published
1,440 datamart record(s)
| Latest Parse Job | Completed · csv · 180 rows |
| Latest Crawler Job | Not linked |
| Bronze Records | 180 |
| Silver Records | 180 |
| Published Records | 1,440 |
| Validation Issues | 0 errors, 180 warnings, 0 info |
Published Domains
Health · 1,440
Recent Parse Jobs
| Started | Parser | Status | Rows |
|---|---|---|---|
| 09 May 2026 10:25 | csv | Completed | 180 |
Terms & Citation
| Access Level | Unspecified |
| License | License not specified |
| Source URL | https://ghoapi.azureedge.net/api/AIR_42 |
Suggested Citation
World Health Organization. WHO Malawi AIR_42. Kafukufuku Data Hub, coverage n.d.. Source: https://ghoapi.azureedge.net/api/AIR_42.
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_42
|
Two-level field best treated as a yes/no or flag variable. |
high |
Text / Code | Identifier | 100.0% present | 0.0% | 177 |
0.261
33.965
0.358
|
High-cardinality field that looks like an ID or code. |
indicator_code |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
AIR_42
|
Two-level field best treated as a yes/no or flag variable. |
indicator_name |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
AIR_42
|
Two-level field best treated as a yes/no or flag variable. |
low |
Decimal | Measure | 100.0% present | 0.0% | 157 |
0.015
2.724
0.021
|
Mostly numeric with enough variation to summarize as a measure. |
value |
Text / Code | Identifier | 100.0% present | 0.0% | 171 |
0.114
18.349
0.157
|
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.015 | 0.261 | 2019 | 0.114 | MWI | - | - | MWI | WHO GHO Malawi AIR_42 | - | AIR_42 | AIR_42 |
| 2.724 | 33.965 | 2019 | 18.349 | MWI | - | - | MWI | WHO GHO Malawi AIR_42 | - | AIR_42 | AIR_42 |
| 0.021 | 0.358 | 2019 | 0.157 | MWI | - | - | MWI | WHO GHO Malawi AIR_42 | - | AIR_42 | AIR_42 |
| 5.697 | 22.642 | 2019 | 15.595 | MWI | - | - | MWI | WHO GHO Malawi AIR_42 | - | AIR_42 | AIR_42 |
| 2.785 | 20.852 | 2019 | 11.661 | MWI | - | - | MWI | WHO GHO Malawi AIR_42 | - | AIR_42 | AIR_42 |
| 0.027 | 0.469 | 2019 | 0.205 | MWI | - | - | MWI | WHO GHO Malawi AIR_42 | - | AIR_42 | AIR_42 |
| 4.208 | 16.725 | 2019 | 11.52 | MWI | - | - | MWI | WHO GHO Malawi AIR_42 | - | AIR_42 | AIR_42 |
| 11.114 | 51.347 | 2019 | 32.618 | MWI | - | - | MWI | WHO GHO Malawi AIR_42 | - | AIR_42 | AIR_42 |
Data Quality Summary
| Rows Analysed | 180 |
| Columns With Data | 11 |
| Cell Completeness | 78.6% |
| Continuous Columns | 1 |
| Categorical Columns | 10 |
| Identifier-Like Columns | 5 |
| Temporal Columns | 1 |
| District Recognition | 0.0% recognised · 180 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.
Continuous Variables
| Column | Coverage | Distinct | Mean | Median | Range | Middle 50% | Std Dev | Shape |
|---|---|---|---|---|---|---|---|---|
low |
100.0% present | 157 | 5.04 | 2.80 | 0.01 to 26.23 | 0.34 to 6.45 | 6.31 | Right-skewed |
Categorical Variables
| Column | Profile | Coverage | Distinct | Most Common Share | Top Values | Interpretation |
|---|---|---|---|---|---|---|
_domain |
Binary | 100.0% present | 1 | 100.0% |
health - 180 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country |
Binary | 100.0% present | 1 | 100.0% |
MWI - 180 (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_42 - 180 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
indicator_name |
Binary | 100.0% present | 1 | 100.0% |
AIR_42 - 180 (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 - 180 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
country_code |
Identifier | 100.0% present | 1 | 100.0% |
MWI - 180 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
high |
Identifier | 100.0% present | 177 | 1.1% |
0.231 - 2 (1.1%)
0.36 - 2 (1.1%)
0.53 - 2 (1.1%)
0.22 - 1 (0.6%)
0.226 - 1 (0.6%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
indicator_code |
Identifier | 100.0% present | 1 | 100.0% |
AIR_42 - 180 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
value |
Identifier | 100.0% present | 171 | 1.7% |
0.156 - 3 (1.7%)
0.205 - 3 (1.7%)
0.098 - 2 (1.1%)
0.101 - 2 (1.1%)
0.152 - 2 (1.1%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
year |
Temporal | 100.0% present | 10 | 10.0% |
2010 - 18 (10.0%)
2011 - 18 (10.0%)
2012 - 18 (10.0%)
2013 - 18 (10.0%)
2014 - 18 (10.0%)
|
Time-like field; values are better read as reporting periods than categories. |