WHO Malawi NUTRITION_WH_2
Annual WHO Global Health Observatory time series for Malawi covering 'NUTRITION_WH_2' (NUTRITION_WH_2).
Preview
Schema
Coverage
Source Linked
88
Downloads
6
Views
988
Rows Parsed
205.2 KB
File Size
09 May 2026
Updated
WHO Malawi NUTRITION_WH_2 is a CSV dataset from World Health Organization, ingested into the Kafukufuku Data Hub with 988 parsed rows.
Annual WHO Global Health Observatory time series for Malawi covering 'NUTRITION_WH_2' (NUTRITION_WH_2). 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 | 988 |
| Country | MWI |
| Spatial Granularity | National |
| Dataset Type | Who Gho Indicator Timeseries |
Filename
who_malawi_nutrition_wh_2_NUTRITION_WH_2.csv
| Source | World Health Organization |
| Format | CSV |
| Filename |
who_malawi_nutrition_wh_2_NUTRITION_WH_2.csv
|
| Rows Parsed | 988 |
| Dataset Type | Who Gho Indicator Timeseries |
| Indicators | 0 |
| File Size | 205.2 KB |
| Status | completed |
| Spatial Granularity | National |
| Hosted by Kafukufuku | Yes |
| Checksum MD5 |
35eabf50094a08186f687bffb73ef60b
|
| Last Updated | 09 May 2026 |
Coverage Summary
| Country | MWI |
| Spatial Granularity | National |
| Years Covered | Not identified |
| Distinct Years | 10 |
| Districts Identified | 2 |
| Regions Identified | 2 |
District Coverage
lilongwe
zomba
Region Coverage
central
southern
2 districts were identified during normalization.
Pipeline Lineage
Raw file
Completed
CSV · who_malawi_nutrition_wh_2_NUTRITION_WH_2.csv
Parse
Completed
988 rows parsed
Bronze
Created
988 bronze record(s)
Silver
Reviewed
988 silver record(s)
Published
Published
5,265 datamart record(s)
| Latest Parse Job | Completed · csv · 988 rows |
| Latest Crawler Job | Not linked |
| Bronze Records | 988 |
| Silver Records | 988 |
| Published Records | 5,265 |
| Validation Issues | 0 errors, 296 warnings, 0 info |
Published Domains
Health · 5,265
Recent Parse Jobs
| Started | Parser | Status | Rows |
|---|---|---|---|
| 09 May 2026 10:29 | csv | Completed | 988 |
Terms & Citation
| Access Level | Unspecified |
| License | License not specified |
| Source URL | https://ghoapi.azureedge.net/api/NUTRITION_WH_2 |
Suggested Citation
World Health Organization. WHO Malawi NUTRITION_WH_2. Kafukufuku Data Hub, coverage n.d.. Source: https://ghoapi.azureedge.net/api/NUTRITION_WH_2.
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 |
Text / Code | Identifier | 100.0% present | 0.0% | 5 |
0.75
0.8
1.0
|
High-cardinality field that looks like an ID or code. |
comments |
Text | Categorical | 100.0% present | 0.0% | 16 |
Malawi demographic and health survey 2010. Demographic and Health Surveys. Zomba, Malawi, and Calverton, Maryland, USA: NSO and ICF Macro. 2011
Malawi Multiple Indicator Cluster Survey 2019-20, Survey Findings Report. Zomba, Malawi: National Statistical Office
The national micronutrient survey 2009. Lilongwe, Malawi: Ministry of Health, UNICEF, Irish Aid and CDC, 2011. Age-adjusted
|
Field is best read as a label/category rather than a numeric measure. |
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 NUTRITION_WH_2
|
Two-level field best treated as a yes/no or flag variable. |
high |
Decimal | Measure | 92.9% present | 7.1% | 143 |
4.9
5.8
4.0
|
Mostly numeric with enough variation to summarize as a measure. |
indicator_code |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
NUTRITION_WH_2
|
Two-level field best treated as a yes/no or flag variable. |
indicator_name |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
NUTRITION_WH_2
|
Two-level field best treated as a yes/no or flag variable. |
low |
Decimal | Measure | 92.9% present | 7.1% | 104 |
3.4
3.2
1.5
|
Mostly numeric with enough variation to summarize as a measure. |
value |
Decimal | Measure | 100.0% present | 0.0% | 122 |
4.0
4.3
2.5
|
Mostly numeric with enough variation to summarize as a measure. |
year |
Year | Temporal | 100.0% present | 0.0% | 16 |
2010
2020
2009
|
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 3.2 | 5.8 | 2020 | 4.3 | MWI | Malawi Multiple Indicator Cluster Survey 2019-20, Survey Findings Report. Zomba, Malawi: National Statistical Office | - | MWI | WHO GHO Malawi NUTRITION_WH_2 | - | NUTRITION_WH_2 | NUTRITION_WH_2 |
| 3.4 | 4.9 | 2010 | 4.0 | MWI | Malawi demographic and health survey 2010. Demographic and Health Surveys. Zomba, Malawi, and Calverton, Maryland, USA: NSO and ICF Macro. 2011 | - | MWI | WHO GHO Malawi NUTRITION_WH_2 | - | NUTRITION_WH_2 | NUTRITION_WH_2 |
| 2.3 | 4.5 | 2020 | 3.2 | MWI | Malawi Multiple Indicator Cluster Survey 2019-20, Survey Findings Report. Zomba, Malawi: National Statistical Office | - | MWI | WHO GHO Malawi NUTRITION_WH_2 | - | NUTRITION_WH_2 | NUTRITION_WH_2 |
| 1.5 | 4.0 | 2010 | 2.5 | MWI | Malawi demographic and health survey 2010. Demographic and Health Surveys. Zomba, Malawi, and Calverton, Maryland, USA: NSO and ICF Macro. 2011 | - | MWI | WHO GHO Malawi NUTRITION_WH_2 | - | NUTRITION_WH_2 | NUTRITION_WH_2 |
| - | - | 2009 | 1.4 | MWI | The national micronutrient survey 2009. Lilongwe, Malawi: Ministry of Health, UNICEF, Irish Aid and CDC, 2011. Age-adjusted | - | MWI | WHO GHO Malawi NUTRITION_WH_2 | - | NUTRITION_WH_2 | NUTRITION_WH_2 |
| 1.9 | 3.3 | 2020 | 2.5 | MWI | Malawi Multiple Indicator Cluster Survey 2019-20, Survey Findings Report. Zomba, Malawi: National Statistical Office | - | MWI | WHO GHO Malawi NUTRITION_WH_2 | - | NUTRITION_WH_2 | NUTRITION_WH_2 |
| 2.2 | 3.0 | 2020 | 2.6 | MWI | Malawi Multiple Indicator Cluster Survey 2019-20, Survey Findings Report. Zomba, Malawi: National Statistical Office | - | MWI | WHO GHO Malawi NUTRITION_WH_2 | - | NUTRITION_WH_2 | NUTRITION_WH_2 |
| - | - | 2009 | 1.9 | MWI | The national micronutrient survey 2009. Lilongwe, Malawi: Ministry of Health, UNICEF, Irish Aid and CDC, 2011. Age-adjusted | - | MWI | WHO GHO Malawi NUTRITION_WH_2 | - | NUTRITION_WH_2 | NUTRITION_WH_2 |
Data Quality Summary
| Rows Analysed | 988 |
| Columns With Data | 12 |
| Cell Completeness | 84.7% |
| Continuous Columns | 3 |
| Categorical Columns | 9 |
| Identifier-Like Columns | 3 |
| Temporal Columns | 1 |
| District Recognition | 70.0% recognised · 296 unresolved rows |
| Domain Recognition | 100.0% classified · 0 unresolved rows |
| Duplicate Rows | 171 |
| Mixed-Type Columns | 0 |
| Empty Columns | 2 · 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 |
|---|---|---|---|---|---|---|---|---|
high |
92.9% present | 143 | 6.47 | 5.60 | 0.60 to 25.90 | 4.10 to 7.78 | 3.42 | Right-skewed |
low |
92.9% present | 104 | 3.37 | 2.80 | 0 to 13.80 | 1.70 to 4.57 | 2.21 | Right-skewed |
value |
100.0% present | 122 | 4.58 | 3.85 | 0.10 to 19.10 | 2.60 to 6.12 | 2.67 | Right-skewed |
Categorical Variables
| Column | Profile | Coverage | Distinct | Most Common Share | Top Values | Interpretation |
|---|---|---|---|---|---|---|
_domain |
Binary | 100.0% present | 1 | 100.0% |
health - 988 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country |
Binary | 100.0% present | 1 | 100.0% |
MWI - 988 (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 NUTRITION_WH_2 - 988 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
indicator_name |
Binary | 100.0% present | 1 | 100.0% |
NUTRITION_WH_2 - 988 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
comments |
Categorical | 100.0% present | 16 | 10.6% |
Malawi Multiple Indicator Cluster Survey 2019-20, Survey Findings Report. Zomba, Malawi: National Statistical Office - 105 (10.6%)
Malawi Demographic and Health Survey 2015-16. Zomba, Malawi, and Rockville, Maryland, USA. NSO and ICF. - 95 (9.6%)
Malawi MDG endline survey 2014. Final Report. Zomba, Malawi: National Statistical Office, 2014. - 95 (9.6%)
Malawi demographic and health survey 1992. Demographic and Health Surveys. National Statistics Office. Zomba, Malawi, 1993 - 94 (9.5%)
Malawi demographic and health survey 2004. Demographic and Health Surveys. Calverton, Maryland: NSO and ORC Macro, 2005 - 94 (9.5%)
|
Nominal field summarised by the most frequent values. |
_domain_confidence |
Identifier | 100.0% present | 5 | 38.0% |
0.75 - 375 (38.0%)
0.8 - 276 (27.9%)
1.0 - 194 (19.6%)
0.8333333333333334 - 131 (13.3%)
0.5 - 12 (1.2%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
country_code |
Identifier | 100.0% present | 1 | 100.0% |
MWI - 988 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
indicator_code |
Identifier | 100.0% present | 1 | 100.0% |
NUTRITION_WH_2 - 988 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
year |
Temporal | 100.0% present | 16 | 10.6% |
2020 - 105 (10.6%)
2014 - 95 (9.6%)
2015 - 95 (9.6%)
1992 - 94 (9.5%)
2004 - 94 (9.5%)
|
Time-like field; values are better read as reporting periods than categories. |