WHO Malawi NUTOVERWEIGHTPREV
Annual WHO Global Health Observatory time series for Malawi covering 'NUTOVERWEIGHTPREV' (NUTOVERWEIGHTPREV).
Filename
who_malawi_nutoverweightprev_NUTOVERWEIGHTPREV.csv
Preview
Schema
Coverage
Source Linked
118
Downloads
2
Views
75
Rows Parsed
13.7 KB
File Size
08 May 2026
Updated
WHO Malawi NUTOVERWEIGHTPREV is a CSV dataset from World Health Organization, ingested into the Kafukufuku Data Hub with 75 parsed rows.
Annual WHO Global Health Observatory time series for Malawi covering 'NUTOVERWEIGHTPREV' (NUTOVERWEIGHTPREV). 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 | 75 |
| Country | MWI |
| Spatial Granularity | National |
| Dataset Type | Who Gho Indicator Timeseries |
Filename
who_malawi_nutoverweightprev_NUTOVERWEIGHTPREV.csv
| Source | World Health Organization |
| Format | CSV |
| Filename |
who_malawi_nutoverweightprev_NUTOVERWEIGHTPREV.csv
|
| Rows Parsed | 75 |
| Dataset Type | Who Gho Indicator Timeseries |
| Indicators | 0 |
| File Size | 13.7 KB |
| Status | completed |
| Spatial Granularity | National |
| Hosted by Kafukufuku | Yes |
| Checksum MD5 |
e5f46fd5679863fd47cc248754f25325
|
| Last Updated | 08 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_nutoverweightprev_NUTOVERWEIGHTPREV.csv
Parse
Completed
75 rows parsed
Bronze
Created
75 bronze record(s)
Silver
Reviewed
75 silver record(s)
Published
Published
23,179 datamart record(s)
| Latest Parse Job | Completed · csv · 75 rows |
| Latest Crawler Job | Not linked |
| Bronze Records | 75 |
| Silver Records | 75 |
| Published Records | 23,179 |
| Validation Issues | 0 errors, 75 warnings, 0 info |
Published Domains
Health · 23,179
Recent Parse Jobs
| Started | Parser | Status | Rows |
|---|---|---|---|
| 08 May 2026 16:51 | csv | Completed | 75 |
Terms & Citation
| Access Level | Unspecified |
| License | License not specified |
| Source URL | https://ghoapi.azureedge.net/api/NUTOVERWEIGHTPREV |
Suggested Citation
World Health Organization. WHO Malawi NUTOVERWEIGHTPREV. Kafukufuku Data Hub, coverage n.d.. Source: https://ghoapi.azureedge.net/api/NUTOVERWEIGHTPREV.
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. |
comments |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
UNICEF/WHO/World Bank Joint Malnutrition Estimates - Country Level Overweight Estimates
|
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 NUTOVERWEIGHTPREV
|
Two-level field best treated as a yes/no or flag variable. |
high |
Decimal | Measure | 100.0% present | 0.0% | 53 |
6.5
5.7
6.1
|
Mostly numeric with enough variation to summarize as a measure. |
indicator_code |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
NUTOVERWEIGHTPREV
|
Two-level field best treated as a yes/no or flag variable. |
indicator_name |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
NUTOVERWEIGHTPREV
|
Two-level field best treated as a yes/no or flag variable. |
low |
Decimal | Measure | 100.0% present | 0.0% | 50 |
3.5
3.0
3.2
|
Mostly numeric with enough variation to summarize as a measure. |
value |
Decimal | Measure | 100.0% present | 0.0% | 51 |
4.8
4.1
4.4
|
Mostly numeric with enough variation to summarize as a measure. |
year |
Year | Temporal | 100.0% present | 0.0% | 25 |
2024
2023
2022
|
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 3.5 | 6.5 | 2024 | 4.8 | MWI | UNICEF/WHO/World Bank Joint Malnutrition Estimates - Country Level Overweight Estimates | - | MWI | WHO GHO Malawi NUTOVERWEIGHTPREV | - | NUTOVERWEIGHTPREV | NUTOVERWEIGHTPREV |
| 3.0 | 5.7 | 2024 | 4.1 | MWI | UNICEF/WHO/World Bank Joint Malnutrition Estimates - Country Level Overweight Estimates | - | MWI | WHO GHO Malawi NUTOVERWEIGHTPREV | - | NUTOVERWEIGHTPREV | NUTOVERWEIGHTPREV |
| 3.2 | 6.1 | 2024 | 4.4 | MWI | UNICEF/WHO/World Bank Joint Malnutrition Estimates - Country Level Overweight Estimates | - | MWI | WHO GHO Malawi NUTOVERWEIGHTPREV | - | NUTOVERWEIGHTPREV | NUTOVERWEIGHTPREV |
| 2.8 | 4.7 | 2023 | 3.6 | MWI | UNICEF/WHO/World Bank Joint Malnutrition Estimates - Country Level Overweight Estimates | - | MWI | WHO GHO Malawi NUTOVERWEIGHTPREV | - | NUTOVERWEIGHTPREV | NUTOVERWEIGHTPREV |
| 3.2 | 5.4 | 2023 | 4.1 | MWI | UNICEF/WHO/World Bank Joint Malnutrition Estimates - Country Level Overweight Estimates | - | MWI | WHO GHO Malawi NUTOVERWEIGHTPREV | - | NUTOVERWEIGHTPREV | NUTOVERWEIGHTPREV |
| 3.0 | 5.0 | 2023 | 3.9 | MWI | UNICEF/WHO/World Bank Joint Malnutrition Estimates - Country Level Overweight Estimates | - | MWI | WHO GHO Malawi NUTOVERWEIGHTPREV | - | NUTOVERWEIGHTPREV | NUTOVERWEIGHTPREV |
| 3.1 | 4.6 | 2022 | 3.7 | MWI | UNICEF/WHO/World Bank Joint Malnutrition Estimates - Country Level Overweight Estimates | - | MWI | WHO GHO Malawi NUTOVERWEIGHTPREV | - | NUTOVERWEIGHTPREV | NUTOVERWEIGHTPREV |
| 2.8 | 4.3 | 2022 | 3.5 | MWI | UNICEF/WHO/World Bank Joint Malnutrition Estimates - Country Level Overweight Estimates | - | MWI | WHO GHO Malawi NUTOVERWEIGHTPREV | - | NUTOVERWEIGHTPREV | NUTOVERWEIGHTPREV |
Data Quality Summary
| Rows Analysed | 75 |
| Columns With Data | 12 |
| Cell Completeness | 85.7% |
| Continuous Columns | 3 |
| Categorical Columns | 9 |
| Identifier-Like Columns | 3 |
| Temporal Columns | 1 |
| District Recognition | 0.0% recognised · 75 unresolved rows |
| Domain Recognition | 100.0% classified · 0 unresolved rows |
| Duplicate Rows | 0 |
| 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 |
100.0% present | 53 | 7.02 | 5.70 | 3.20 to 14.30 | 4 to 9.85 | 3.42 | Right-skewed |
low |
100.0% present | 50 | 5.57 | 4.30 | 2.60 to 11.40 | 3.05 to 8.05 | 2.85 | Right-skewed |
value |
100.0% present | 51 | 6.24 | 4.80 | 2.90 to 12.80 | 3.50 to 8.90 | 3.12 | Right-skewed |
Categorical Variables
| Column | Profile | Coverage | Distinct | Most Common Share | Top Values | Interpretation |
|---|---|---|---|---|---|---|
_domain |
Binary | 100.0% present | 1 | 100.0% |
health - 75 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
comments |
Binary | 100.0% present | 1 | 100.0% |
UNICEF/WHO/World Bank Joint Malnutrition Estimates - Country Level Overweight Estimates - 75 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country |
Binary | 100.0% present | 1 | 100.0% |
MWI - 75 (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 NUTOVERWEIGHTPREV - 75 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
indicator_name |
Binary | 100.0% present | 1 | 100.0% |
NUTOVERWEIGHTPREV - 75 (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 - 75 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
country_code |
Identifier | 100.0% present | 1 | 100.0% |
MWI - 75 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
indicator_code |
Identifier | 100.0% present | 1 | 100.0% |
NUTOVERWEIGHTPREV - 75 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
year |
Temporal | 100.0% present | 25 | 4.0% |
2000 - 3 (4.0%)
2001 - 3 (4.0%)
2002 - 3 (4.0%)
2003 - 3 (4.0%)
2004 - 3 (4.0%)
|
Time-like field; values are better read as reporting periods than categories. |