WHO Malawi TAXBEV_EXCISE
Annual WHO Global Health Observatory time series for Malawi covering 'TAXBEV_EXCISE' (TAXBEV_EXCISE).
Filename
who_malawi_taxbev_excise_TAXBEV_EXCISE.csv
Preview
Schema
Coverage
Source Linked
2
Downloads
4
Views
24
Rows Parsed
2.0 KB
File Size
21 May 2026
Updated
WHO Malawi TAXBEV_EXCISE is a CSV dataset from World Health Organization, ingested into the Kafukufuku Data Hub with 24 parsed rows.
Annual WHO Global Health Observatory time series for Malawi covering 'TAXBEV_EXCISE' (TAXBEV_EXCISE). 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 | 24 |
| Country | MWI |
| Spatial Granularity | National |
| Dataset Type | Who Gho Indicator Timeseries |
Filename
who_malawi_taxbev_excise_TAXBEV_EXCISE.csv
| Source | World Health Organization |
| Format | CSV |
| Filename |
who_malawi_taxbev_excise_TAXBEV_EXCISE.csv
|
| Rows Parsed | 24 |
| Dataset Type | Who Gho Indicator Timeseries |
| Indicators | 0 |
| File Size | 2.0 KB |
| Status | completed |
| Spatial Granularity | National |
| Hosted by Kafukufuku | Yes |
| Checksum MD5 |
9b1055529d837eb8c9ad3dfb9b5a9146
|
| Last Updated | 21 May 2026 |
Coverage Summary
| Country | MWI |
| Spatial Granularity | National |
| Years Covered | Not identified |
| Distinct Years | 2 |
| 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_taxbev_excise_TAXBEV_EXCISE.csv
Parse
Completed
24 rows parsed
Bronze
Created
24 bronze record(s)
Silver
Reviewed
24 silver record(s)
Published
Published
3,072 datamart record(s)
| Latest Parse Job | Completed · csv · 24 rows |
| Latest Crawler Job | Not linked |
| Bronze Records | 24 |
| Silver Records | 24 |
| Published Records | 3,072 |
| Validation Issues | 0 errors, 24 warnings, 0 info |
Published Domains
Economics · 3,072
Recent Parse Jobs
| Started | Parser | Status | Rows |
|---|---|---|---|
| 21 May 2026 12:34 | csv | Completed | 24 |
Terms & Citation
| Access Level | Unspecified |
| License | License not specified |
| Source URL | https://ghoapi.azureedge.net/api/TAXBEV_EXCISE |
Suggested Citation
World Health Organization. WHO Malawi TAXBEV_EXCISE. Kafukufuku Data Hub, coverage n.d.. Source: https://ghoapi.azureedge.net/api/TAXBEV_EXCISE.
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 |
economics
|
Two-level field best treated as a yes/no or flag variable. |
_domain_confidence |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
0.75
|
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 TAXBEV_EXCISE
|
Two-level field best treated as a yes/no or flag variable. |
indicator_code |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
TAXBEV_EXCISE
|
Two-level field best treated as a yes/no or flag variable. |
indicator_name |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
TAXBEV_EXCISE
|
Two-level field best treated as a yes/no or flag variable. |
value |
Text | Categorical | 100.0% present | 0.0% | 4 |
6.6
0.0
21.46
|
Field is best read as a label/category rather than a numeric measure. |
year |
Year | Temporal | 100.0% present | 0.0% | 2 |
2024
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| - | - | 2024 | 6.6 | MWI | - | - | MWI | WHO GHO Malawi TAXBEV_EXCISE | - | TAXBEV_EXCISE | TAXBEV_EXCISE |
| - | - | 2024 | 0.0 | MWI | - | - | MWI | WHO GHO Malawi TAXBEV_EXCISE | - | TAXBEV_EXCISE | TAXBEV_EXCISE |
| - | - | 2024 | 0.0 | MWI | - | - | MWI | WHO GHO Malawi TAXBEV_EXCISE | - | TAXBEV_EXCISE | TAXBEV_EXCISE |
| - | - | 2024 | 21.46 | MWI | - | - | MWI | WHO GHO Malawi TAXBEV_EXCISE | - | TAXBEV_EXCISE | TAXBEV_EXCISE |
| - | - | 2024 | 6.6 | MWI | - | - | MWI | WHO GHO Malawi TAXBEV_EXCISE | - | TAXBEV_EXCISE | TAXBEV_EXCISE |
| - | - | 2024 | 0.0 | MWI | - | - | MWI | WHO GHO Malawi TAXBEV_EXCISE | - | TAXBEV_EXCISE | TAXBEV_EXCISE |
| - | - | 2024 | 38.37 | MWI | - | - | MWI | WHO GHO Malawi TAXBEV_EXCISE | - | TAXBEV_EXCISE | TAXBEV_EXCISE |
| - | - | 2024 | 0.0 | MWI | - | - | MWI | WHO GHO Malawi TAXBEV_EXCISE | - | TAXBEV_EXCISE | TAXBEV_EXCISE |
Data Quality Summary
| Rows Analysed | 24 |
| Columns With Data | 9 |
| Cell Completeness | 64.3% |
| Continuous Columns | 0 |
| Categorical Columns | 9 |
| Identifier-Like Columns | 3 |
| Temporal Columns | 1 |
| District Recognition | 0.0% recognised · 24 unresolved rows |
| Domain Recognition | 100.0% classified · 0 unresolved rows |
| Duplicate Rows | 16 |
| Mixed-Type Columns | 0 |
| Empty Columns | 5 · low, high, 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% |
economics - 24 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country |
Binary | 100.0% present | 1 | 100.0% |
MWI - 24 (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 TAXBEV_EXCISE - 24 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
indicator_name |
Binary | 100.0% present | 1 | 100.0% |
TAXBEV_EXCISE - 24 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
value |
Categorical | 100.0% present | 4 | 50.0% |
0.0 - 12 (50.0%)
21.46 - 4 (16.7%)
38.37 - 4 (16.7%)
6.6 - 4 (16.7%)
|
Nominal field summarised by the most frequent values. |
_domain_confidence |
Identifier | 100.0% present | 1 | 100.0% |
0.75 - 24 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
country_code |
Identifier | 100.0% present | 1 | 100.0% |
MWI - 24 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
indicator_code |
Identifier | 100.0% present | 1 | 100.0% |
TAXBEV_EXCISE - 24 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
year |
Temporal | 100.0% present | 2 | 50.0% |
2022 - 12 (50.0%)
2024 - 12 (50.0%)
|
Time-like field; values are better read as reporting periods than categories. |