World Bank Malawi Total sample population, urban
Annual World Bank time series for Malawi covering the indicator 'Total sample population, urban' (JI.POP.TOTL.UR). Shared source metadata is preserved without merging separate indicators into one dataset file.
World Bank Malawi Total sample population, urban is a CSV dataset from World Bank, ingested into the Kafukufuku Data Hub with 6 parsed rows.
Annual World Bank time series for Malawi covering the indicator 'Total sample population, urban' (JI.POP.TOTL.UR). Shared source metadata is preserved without merging separate indicators into one dataset file. The source is catalogued as worldbank indicator timeseries. Spatial granularity is national. It belongs to the worldbank malawi indicators collection. 1 indicators were detected during parsing. Geographic scope is MW.
| Source | World Bank |
| Format | CSV |
| Rows Parsed | 6 |
| Indicators | 1 |
| Country | MW |
| Spatial Granularity | National |
| Dataset Type | Worldbank Indicator Timeseries |
wb_malawi_indicator_total_sample_population_urban_JI.POP.TOTL.UR_MW.csv
| Source | World Bank |
| Format | CSV |
| Filename |
wb_malawi_indicator_total_sample_population_urban_JI.POP.TOTL.UR_MW.csv
|
| Rows Parsed | 6 |
| Dataset Type | Worldbank Indicator Timeseries |
| Indicators | 1 |
| File Size | 1.4 KB |
| Status | completed |
| Spatial Granularity | National |
| Hosted by Kafukufuku | Yes |
| Checksum MD5 |
9b66ae33dbfbebc427f10e8d54182e3f
|
| Last Updated | 10 May 2026 |
| Country | MW |
| Spatial Granularity | National |
| Years Covered | Not identified |
| Distinct Years | 6 |
| Districts Identified | 0 |
| Regions Identified | 0 |
| Latest Parse Job | Completed · csv · 6 rows |
| Latest Crawler Job | Not linked |
| Bronze Records | 6 |
| Silver Records | 6 |
| Published Records | 156 |
| Validation Issues | 0 errors, 6 warnings, 0 info |
| Started | Parser | Status | Rows |
|---|---|---|---|
| 10 May 2026 21:07 | csv | Completed | 6 |
| Access Level | Unspecified |
| License | License not specified |
| Source URL | https://api.worldbank.org/v2/country/MW/indicator/JI.POP.TOTL.UR |
| Field | Type | Profile | Coverage | Missing | Distinct | Examples | Notes |
|---|---|---|---|---|---|---|---|
_domain |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
population
|
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 |
Malawi
|
Two-level field best treated as a yes/no or flag variable. |
dataset_name |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
World Bank Malawi Total sample population, urban Time Series
|
Two-level field best treated as a yes/no or flag variable. |
decimal_places |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
1
|
Two-level field best treated as a yes/no or flag variable. |
description |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
Total sample population, urban
|
Two-level field best treated as a yes/no or flag variable. |
indicator |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
Total sample population, urban
|
Two-level field best treated as a yes/no or flag variable. |
indicator_code |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
JI.POP.TOTL.UR
|
Two-level field best treated as a yes/no or flag variable. |
source |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
World Bank
|
Two-level field best treated as a yes/no or flag variable. |
title |
Boolean / Flag | Binary | 100.0% present | 0.0% | 1 |
Total sample population, urban
|
Two-level field best treated as a yes/no or flag variable. |
value |
Decimal | Measure | 100.0% present | 0.0% | 6 |
2829047.70600006
3092772.15585136
2795730.80113983
|
Mostly numeric with enough variation to summarize as a measure. |
year |
Year | Temporal | 100.0% present | 0.0% | 6 |
2019
2016
2013
|
Interpreted as a reporting period rather than a measure. |
| Unit | Year | Title | Value | Source | Country | Indicator | Obs_Status | Description | Country_Iso3 | Dataset_Name | Decimal_Places | Indicator_Code |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| - | 2019 | Total sample population, urban | 2829047.70600006 | World Bank | Malawi | Total sample population, urban | - | Total sample population, urban | - | World Bank Malawi Total sample population, urban Time Series | 1 | JI.POP.TOTL.UR |
| - | 2016 | Total sample population, urban | 3092772.15585136 | World Bank | Malawi | Total sample population, urban | - | Total sample population, urban | - | World Bank Malawi Total sample population, urban Time Series | 1 | JI.POP.TOTL.UR |
| - | 2013 | Total sample population, urban | 2795730.80113983 | World Bank | Malawi | Total sample population, urban | - | Total sample population, urban | - | World Bank Malawi Total sample population, urban Time Series | 1 | JI.POP.TOTL.UR |
| - | 2010 | Total sample population, urban | 1885649.55428791 | World Bank | Malawi | Total sample population, urban | - | Total sample population, urban | - | World Bank Malawi Total sample population, urban Time Series | 1 | JI.POP.TOTL.UR |
| - | 2004 | Total sample population, urban | 1430050.03600311 | World Bank | Malawi | Total sample population, urban | - | Total sample population, urban | - | World Bank Malawi Total sample population, urban Time Series | 1 | JI.POP.TOTL.UR |
| - | 1997 | Total sample population, urban | 1740952 | World Bank | Malawi | Total sample population, urban | - | Total sample population, urban | - | World Bank Malawi Total sample population, urban Time Series | 1 | JI.POP.TOTL.UR |
| Rows Analysed | 6 |
| Columns With Data | 12 |
| Cell Completeness | 80.0% |
| Continuous Columns | 1 |
| Categorical Columns | 11 |
| Identifier-Like Columns | 2 |
| Temporal Columns | 1 |
| District Recognition | 0.0% recognised · 6 unresolved rows |
| Domain Recognition | 100.0% classified · 0 unresolved rows |
| Duplicate Rows | 0 |
| Mixed-Type Columns | 0 |
| Empty Columns | 3 · unit, obs_status, country_iso3 |
| Column | Coverage | Distinct | Mean | Median | Range | Middle 50% | Std Dev | Shape |
|---|---|---|---|---|---|---|---|---|
value |
100.0% present | 6 | 2,295,700.38 | 2,340,690.18 | 1,430,050.04 to 3,092,772.16 | 1,777,126.39 to 2,820,718.48 | 631,803.13 | Left-skewed |
| Column | Profile | Coverage | Distinct | Most Common Share | Top Values | Interpretation |
|---|---|---|---|---|---|---|
_domain |
Binary | 100.0% present | 1 | 100.0% |
population - 6 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
country |
Binary | 100.0% present | 1 | 100.0% |
Malawi - 6 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
dataset_name |
Binary | 100.0% present | 1 | 100.0% |
World Bank Malawi Total sample population, urban Time Series - 6 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
decimal_places |
Binary | 100.0% present | 1 | 100.0% |
1 - 6 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
description |
Binary | 100.0% present | 1 | 100.0% |
Total sample population, urban - 6 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
indicator |
Binary | 100.0% present | 1 | 100.0% |
Total sample population, urban - 6 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
source |
Binary | 100.0% present | 1 | 100.0% |
World Bank - 6 (100.0%)
|
Two-level field; best read as a flag or yes/no split. |
title |
Binary | 100.0% present | 1 | 100.0% |
Total sample population, urban - 6 (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 - 6 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
indicator_code |
Identifier | 100.0% present | 1 | 100.0% |
JI.POP.TOTL.UR - 6 (100.0%)
|
High-cardinality identifier-like field; category frequencies are less informative. |
year |
Temporal | 100.0% present | 6 | 16.7% |
1997 - 1 (16.7%)
2004 - 1 (16.7%)
2010 - 1 (16.7%)
2013 - 1 (16.7%)
2016 - 1 (16.7%)
|
Time-like field; values are better read as reporting periods than categories. |