Name: Kigoma (Tanzania) - Planned and Unplanned Settlement Areas Map (ESA EO4SD-Urban)
Creator: World Bank Group
Published: 2017-10-25

The BOOST initiative is a Bank-wide collaborative effort launched in 2010 to facilitate access to budget data and promote effective use for improved decision-making processes, transparency and accountability.

BOOST - Public Expenditure Database

This collection contains datasets that may be useful for analysis, response or modelling for the Coronavirus (COVID-19) pandemic.

Coronavirus (COVID-19) Related Datasets

The Data360 initiative aims to integrate high-value data and knowledge curated in the Bank’s verticals into a user-centered data platform. 

Data 360

The Development Data Partnership platform facilitates formation of public-private partnerships for solving development challenges with technology. Specifically, the Development Data Partnership Working Group organizes opportunities for WBG staff to work with technology companies who offer pro-bono data and resources.

Development Data Partnership

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Earth Observation for Sustainable Development

Open data and analytics for a sustainable energy future.

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Project Page: https://worldbank.github.io/GEEST/README.html 

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Fifty-nine spatial layers were identified and then researched for each country, covering the following categories: Demographics and Population | Renewable Energy | Energy Access | Education | Jobs and Finance | Digital Inclusion | Transportation | Safety | Amenities | Climate/Earth | Law/Policy/Government. 


However, not every country GDB contains all 59 data layers, as this was dependent on the availability of open-source data in each SIDS. Users are encouraged to check the accompanying metadata excel file for more information on the datasets in each GDB, the vintage, and the

Gender Spatial Data - Small Island States

A collection of datasets that contain geospatial data. These datasets have one or more resources in a geospatial data format.

Geospatial Datasets

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IMF Dataset

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Data and dataset subscriptions managed by the Library Network on agriculture, business, economics, energy, finance, health, risk, water, and more..

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The LinkedIn-World Bank partnership offers data to help governments and researchers understand rapidly evolving labor markets with detailed and dynamic data. It allows leaders to benchmark and compare labor markets across the world; analyze skills, occupations, migration, and industries; and leverage real-time data to make policy changes.Visualizations for many of these data are available at <a href=https://linkedindata.worldbank.org/>linkedindata.worldbank.org</a>

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Collection of merchandise trade data available to World Bank staff.

Merchandise Trade Data

This collection includes datasets associated with research organized under the Bank, <a href=http://prwp.worldbank.org target='_blank' title='Opens in a new window'>Policy Research Working Papers</a>.

Policy Research Working Papers

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This collection consists of datasets compiled and created by the World Bank Data Lab in response to a request by the Syria Economic Monitor Team to explore alternative data sources to better understand changing trends in trade and economic activity, focusing on: surface cross-border transport routes, changes in observed agricultural production, observed nighttime lights, and reported conflict.

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Ukraine datasets

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From Data to a Water-Secure World for All. World Bank Water Data surrounding the three pillars of Sustain Water Resources, Deliver Services and Build Resilience.

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World Development Report 2021

The World Development Report 2022: Finance for an Equitable Recovery examines the central role of finance in the economic recovery from the COVID-19 pandemic. In doing so, it looks into the consequences of the crisis most likely to affect emerging economies and proposes a set of policies to mitigate the interconnected financial risks stemming from the pandemic and to steer economies toward a sustainable and equitable recovery. The data used in the WDR2022 are curated as a collection here.

World Development Report 2022

The World Settlement Footprint Collection includes country datasets describing the evolution of the built-area across the globe at a ~30m resolution.

World Settlement Footprint

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 (Pleiades (2016)) by means of visual interpretation

Planned and Unplanned Settlement Areas 2016 Map for Kigoma (ESA EO4SD-Urban)

EO4SD-Urban Kigoma City Report, 2018

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)) by means of visual interpretation

Planned and Unplanned Settlement Areas 2006 Map for Kigoma (ESA EO4SD-Urban)

Link to unplanned settlements data of Kigoma on Urban Thematic Exploitation Platform (UTEP)

Urban Thematic Exploitation Platform (UTEP) Link - Kigoma

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

Tanzania

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

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

Metadata