Creative Commons Attribution 4.0

This dataset is licensed under CC-BY 4.0

CC-BY 4.0

Congo Brazzaville - Hydro Power Plants (2019)

Description: 

This data was collected during the project: Preparation of a high-level least-cost geospatial analysis for grid and off-grid electrification options - Synoptic analysis of low-cost electrification solutions in Congo

Type: 
Geospatial

Congo Brazzaville - Thermal Power Plants (2019)

Description: 

This data was collected during the project: Preparation of a high-level least-cost geospatial analysis for grid and off-grid electrification options - Synoptic analysis of low-cost electrification solutions in Congo

Type: 
Geospatial

Djibouti Public Transport Routes

Description: 

The following surveys were carried out:
• GIS mapping of bus routes, carried out by survey staff travelling bus routes with GPS enabled phones, using GPS Essantials

The objective of these surveys was to develop a comprehensive picture of the urban transport sector, including, on the supply side, the financing and provision of vehicles and the incomes in the sector, and on the demand side, the needs of passengers and identification of the level of the number of passengers on different routes.
The first phase of data gathering was in May 2019. This was entirely within...

Type: 
Geospatial

India - Water (Tube-well and River) Salinity in Indian Sundarban

Description: 

Water is not potable if its salinity exceeds 1 part per thousand (ppt), and water cannot be used for dry season paddy irrigation if its salinity exceeds 2 ppt. Recent field measurements conducted in Basanti, Gosaba, Hingalganj, Kultali, Namkhana, Pathar Pratima and Sagar Block, found that tube-well water salinity exceeds 1 ppt in 17 of 50 hamlets in Gosaba, Hingalgunj and Patharpratima blocks of the Sundarban Reclaimed (populated) Area in India. Measured salinity of water samples collected from Bidya, Matla, Hooghly, and Raimangal Rivers was in the range of 13-27ppt.

This dataset...

Type: 
Geospatial

India - Erosion and Accretion of Bangladesh and Indian Sundarbans

Description: 

Drawing on mosaiced Survey of India “inch” topographical maps (1904-24), Corona space photos (1967), IRS-1D L3+Pan (2001), and IRS-R2 L4-mx (2015-16) satellite images, this dataset provides erosion and accretion of Bangladesh, as well as Indian Sundarban. Comparison between 1904–24 topographical maps and 2015–16 satellite images highlights the extent of erosion along nearly the entire surface of the western delta and accretion in the interior parts, mainly in the west.

Type: 
Geospatial

Gender Disaggregated Labor Database

Description: 

Gender Disaggregated Labor Database (GDLD) is a global micro labor force database based on World Bank household survey collection and other public resources. This database has harmonized the economic activities and occupation categories from local classification to international comparable classifications. It fills an important information gap in global sex statistics by providing detailed accounts on education, employment levels, wages, labor income, and employment status at very disaggregated economic activity level and occupation category than is usually available.

Type: 
Time Series

World Bank Official Boundaries

Description: 

World Bank-approved administrative boundaries (Admin 0) (and polygons) including international boundaries, disputed areas, coastlines, lakes and a guide to help with their usage.

Boundaries are available as an ESRI GeoDatabase, in GeoJSON, a shapefile and API endpoints for interactive maps.

If Bank staff use this data to create a map (print, web, or presentations for external audience e.g. external web sites, on mission), staff must receive clearance for the map by submitting the created map to the World Bank Cartography Unit (please refer to contact email below...

Type: 
Geospatial

Derived map of global electricity transmission and distribution lines

Description: 

Overview:

Global results from gridfinder model, produced by ESMAP based on joint work with Facebook and others. Uses night-time lights, road networks and existing grid network data to predict the location of transmission and distribution lines globally. Validated in several countries with ~70% accuracy at 1 km.

More information:

Blog with brief overview: https://blogs.worldbank.org/energy/using-night-lights-map-...

Type: 
Geospatial

Household Impact of Tariffs

Description: 

The Household Impacts of Tariffs (HIT) data set contains harmonized household survey and tariff data for 54 low- and lower-middle income countries. The data cover highly disaggregated information on household budget and income shares for 53 agricultural products, wage labor income, nonfarm enterprise sales and transfers, as well as spending on manufacturing and services.

Type: 
Time Series

Global - Dams Database

Description: 

This database contains parameters gathered after an assessment of the technological potential for development of floating solar photovoltaic (PV) projects on existing hydropower dams and other reservoirs, starting with a pilot in FY18 focused on West Africa and India gathered from World Bank hydro projects. This database has been expanded to include the International Hydropower Association (IHA) dataset for India: https://energydata.info/dataset/india-hydropower-databaseIt also includes data gathered from the FAO...

Type: 
Other

Procuring Infrastructure - Public-Private Partnership

Description: 

Procuring Infrastructure PPPs: Adherence to Best Regulatory Practices is a collection of comparable and actionable data on the procurement of large-scale public-private partnership (PPP) infrastructure projects around the world. The assessments of countries’ regulatory practices are organized in four thematic areas: preparation, procurement, contract management, and a special module on unsolicited proposals (USP).

Type: 
Time Series

Phnom Penh (Cambodia) - Land Use/Land Cover Maps (ESA EO4SD-Urban)

Description: 

Land Use / Land Cover (LULC) information product over Phnom Penh (Cambodia) contains spatial explicit information about the different land covers / uses for current (2017) and past (2003) dates. The level of detail for the classification scheme mainly relies on the input data sources. LULC dataset provides detailed information (level-3) over core urban areas covered by very high resolution satellite imagery, and level-1 information over peri-urban areas covered by lower resolution satellite imagery.

Type: 
Geospatial

Financial Management Information Systems Database

Description: 

Financial Management Information Systems (FMIS) Database contains a rich set of operational data and performance ratings related to all completed and active FMIS projects funded by the World Bank (investment lending with large ICT components) since 1984. In addition to existing project data, details of ICT solutions, cost, duration, and performance of FMIS implementation, and relevant web links are presented for the benefit of task teams, as well as the client countries and development agencies involved (in spreadsheet format with metadata, statistics, and timelines). The FMIS Database was...

Type: 
Time Series

Kigoma (Tanzania) - Transport Infrastructure (ESA EO4SD-Urban)

Description: 

The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2005)) / Pleiades (2016) by means of manual classification processing techniques.

Type: 
Geospatial

Kigoma (Tanzania) - Population Distribution and Density (ESA EO4SD-Urban)

Description: 

The Population Distribution and Density product contains spatial explicit information about population distribution changes at a certain degree, within the Core Urban Districts of Kigoma. The following eight change classes are identified, based on a frequency distribution analysis of the changes that occur: Unchanged Population Distribution; Up to –100% decrease; Up to 200% increase; 201% - 400% increase; 401% - 600% increase; 601% - 800% increase; 801% - 1000% increase; More than 1000% increase. The Population Distribution and Density product is estimated for all objects which belong to...

Type: 
Geospatial

Karachi (Pakistan) - Transport Network (ESA EO4SD-Urban)

Description: 

The products over Karachi (Pakistan) contain spatial explicit information about the transport network and nodes within the transport network and their typology as identified from Open Street Map and updated by interpretation of VHR satellite imagery. The level of detail for the classification scheme mainly relies on the input data sources.

Type: 
Geospatial

Kigoma (Tanzania) - Land Use/Land Cover Map (ESA EO4SD-Urban

Description: 

Land Use/Land Cover (LU/LC) information product contains spatial explicit information on different land use and land cover occurring in Larger Urban areas of the City of Kigoma. The Larger Urban area LU/LC nomenclature is at an aggregated Level 1 or 2. The input data for the larger Urban area was Landsat 5 (2005), Sentinel-2 (2016), Very High Resolution (VHR) data of Quickbird-2 (2005) and Very High Resolution (VHR) data of Pleiades (2016).

Type: 
Geospatial

Karachi (Pakistan) - Land Use/Land Cover (ESA EO4SD-Urban)

Description: 

Land Use / Land Cover (LULC) information product over Karachi (Pakistan) contains spatial explicit information about the different land covers / uses for current (2017) and past (2005) dates. The level of detail for the classification scheme mainly relies on the input data sources. LULC dataset provides detailed information (level-3) over core urban areas covered by very high resolution satellite imagery, and level-1 information over peri-urban areas covered by lower resolution satellite imagery.

Type: 
Geospatial

Kigoma (Tanzania) - Planned and Unplanned Settlement Areas Map (ESA EO4SD-Urban)

Description: 

Planned and Unplanned Settlement information product contains spatial explicit information on the two settlement types within the core urban area. The distinction into the two settlement types is restricted to the residential area (LULC class 11), and to commercial areas (LULC class 1211) which also have a residential component. The Planned and Unplanned Settlement and Change dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2006)) /(Pleiades (2016)) by means of visual interpretation

Type: 
Geospatial

Karachi (Pakistan) - Informal Settlements (ESA EO4SD-Urban)

Description: 

Probable informal settlements over Karachi (Pakistan) contains spatial explicit information about position of slums as identified in 2005 and 2010 from ancillary data sources and in 2017 by interpretation of VHR satellite imagery. The level of detail for the classification scheme mainly relies on the input data sources.

Type: 
Geospatial

Kigoma (Tanzania) - Urban Green Areas Map (ESA EO4SD-Urban)

Description: 

Urban Green Areas information product contains spatial explicit information on green areas located within the Urban Extent (derived from LULC product) of the city. Green areas include linear green features such as river alignments, hedges and trees, as well as public parks, private gardens, forested areas, etc. Urban Green Areas dataset are based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2005)) / (Pleiades (2016)) by means of automated classification processing techniques

Type: 
Geospatial

Fallujah (Iraq) - Transport Network (ESA EO4SD-Urban)

Description: 

The product over Fallujah (Iraq) contains spatial explicit information about the transport network and nodes within the transport network and their typology as identified from Open Street Map and updated by interpretation of VHR satellite imagery. The level of detail for the classification scheme mainly relies on the input data sources.

Type: 
Geospatial

Fallujah (Iraq) - Land Use/Land Cover (ESA EO4SD-Urban)

Description: 

Land Use / Land Cover (LULC) information product over Fallujah (Iraq) contains spatial explicit information about the different land covers / uses for current (2017) and past (2004) dates. The level of detail for the classification scheme mainly relies on the input data sources. LULC dataset provides detailed information (level-4) over core urban areas covered by very high resolution satellite imagery.

Type: 
Geospatial

Fallujah (Iraq) - Open and green areas (extended) (ESA EO4SD-Urban)

Description: 

The products over Fallujah (Iraq) contain spatial explicit information about position of open and green areas (extended) as of 2002 and 2017 as identified by interpretation of VHR satellite imagery. The level of detail for the classification scheme mainly relies on the input data sources.

Type: 
Geospatial

Mbeya (Tanzania) - Transport Infrastructure (ESA EO4SD-Urban)

Description: 

The Transport Infrastructure information product shows the classification of three road types: Arterial Roads, Collector Roads and Local Roads. The Transport Infrastructure dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2004)) / (Worldview-2, GeoEye-1 (2015, 2017)) by means of manual classification processing techniques

Type: 
Geospatial