Key water quality parameters for dry and wet season in the Liberian city of Monrovia (Coliforms, Nitrate, pH, Turbidity, Temperature, EC etc.) / 2011
Publication - Urban Water Services in Fragile States: An Analysis of Drinking Water Sources and Quality in Port Harcourt, Nigeria, and Monrovia, Liberia https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944695/
Key water quality parameters for dry and wet season in the Nigerian city of Port Harcourt (Coliforms, Nitrate, pH, turbidity etc.) / 2015-16.
Publication - Urban Water Services in Fragile States: An Analysis of Drinking Water Sources and Quality in Port Harcourt, Nigeria, and Monrovia, Liberia https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944695/
Globally gridded dataset of nitrate-nitrite in surface water for the years 1992-2010, monthly observations. Data is available at the 0.5x0.5 degree gridcell level. Units are milligram per liter (mg/l). Data is generated using a machine learning model, as described in the report Quality Unknown: The Invisible Water Crisis (https://www.worldbank.org/en/news/feature/2019/08/20/quality-unknown). See report Appendix for more details.
Globally gridded dataset of electrical conductivity in surface water for the years 1992-2010, monthly observations. Data is available at the 0.5x0.5 degree gridcell level. Units are microsiemens/centimeter (uS/cm). Electrical conductivity is a common indicator for salinity in water. Data is generated using a machine learning model, as described in the report Quality Unknown: The Invisible Water Crisis (https://www.worldbank.org/en/news/feature/2019/08/20/quality-unknown). See report Appendix for more details...
Globally gridded dataset of biological oxygen demand (BOD) in surface water for the years 1992-2010, monthly observations. Data is available at the 0.5x0.5 degree gridcell level. Units are milligram per liter (mg/l). Data is generated using a machine learning model, as described in the report Quality Unknown: The Invisible Water Crisis (https://www.worldbank.org/en/news/feature/2019/08/20/quality-unknown). See report Appendix for more details.
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...
The survey was conducted in Suriname between September 2018 and January 2019 by the World Bank Group (WBG). The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector. As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving the business environment as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys (ES) are an ongoing World Bank project in collecting both...
The survey was conducted in Mozambique between July 2018 and January 2019 by the World Bank Group (WBG). In addition to the standard ES that covers formal private sector firms with five or more employees, in Mozambique a separate survey is fielded simultaneously to collect data from micro-enterprises, formal firms with less than five employees. The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector. As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted...
The 2018 Mozambique Informal Sector Business Survey (ISBS) data was collected by the World Bank Group - Enterprise Analysis Unit. The survey covers three cities, Beira, Maputo and Nampula. The primary objectives of the survey are: i) to understand the business demographics of the sector in the two cities, and ii) to describe the environment within which these businesses operate. A secondary objective of the survey is to provide an estimate of the number of informal businesses operating in these cities.
The survey was conducted in Mozambique between June 2018 and January 2019 by the World Bank Group (WBG). The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector. As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving the business environment as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys (ES) are an ongoing World Bank project in collecting both...
The survey was conducted in Kenya between May 2018 and January 2019 by the World Bank Group (WBG). The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector. As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving the business environment as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys (ES) are an ongoing World Bank project in collecting both objective...
The Country Opinion Survey in Honduras assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Honduras perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Honduras on 1) their views regarding the general environment in Honduras; 2) their overall attitudes toward the WBG in Honduras; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing...
The survey was conducted in Lao PDR between May and November 2018 by the World Bank Group (WBG). The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector. As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving the business environment as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys (ES) are an ongoing World Bank project in collecting both objective data...
The Country Opinion Survey in Morocco assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Morocco perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Morocco on 1) their views regarding the general environment in Morocco; 2) their overall attitudes toward the WBG in Morocco; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in...
The Country Opinion Survey in Mongolia assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Mongolia perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Mongolia on 1) their views regarding the general environment in Mongolia; 2) their overall attitudes toward the WBG in Mongolia; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing...
The Country Opinion Survey in Mauritius assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Mauritius perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Mauritius on 1) their views regarding the general environment in Mauritius; 2) their overall attitudes toward the WBG in Mauritius; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information...
The Liberia Health Systems Strengthening Project Impact Evaluation aims to assess the impact of Performance Based Financing (PBF) activities at target hospitals. This second (post-Ebola) baseline data collection exercise was preceded by a pre-Ebola data collection exercise in 2013. The data collection comprised 33 separate instruments, which were designed to measure the presence of health workers, their skills, capacity to perform, performance, and motivation. In addition, the infrastructure and supplies of each facility were also assessed. All baseline survey instruments were used in an...
The Country Opinion Survey in Jamaica assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Jamaica perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Jamaica on 1) their views regarding the general environment in Jamaica; 2) their overall attitudes toward the WBG in Jamaica; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in...
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.
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.
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.
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
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.
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.
The Urban Green Area information product contains spatial explicit information on green areas located within the Urban Extent (derived from LU/LC 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. The Urban Green Area dataset is based on Very High Resolution (VHR) satellite imagery (Quickbird-2 (2004) / Worldview-2, GeoEye-1 (2015, 2017)) by means of automated classification processing techniques
