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Announcing Funding for 12 Development Data Innovation Projects

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We’re pleased to announce support for 12 projects which seek to improve the way development data are produced, managed, and used. They bring together diverse teams of collaborators from around the world, and are focused on solving challenges in low and lower middle-income countries in Sub-Saharan Africa, East Asia, Latin America, and South Asia.

Following the success of the first round of funding in 2016, in August 2017 we announced a $2.5M fund to support Collaborative Data Innovations for Sustainable Development. The World Bank’s Development Data group, together with the Global Partnership for Sustainable Development Data, called for ideas to improve the production, management, and use of data in the two thematic areas of “Leave No One Behind” and the environment. To ensure funding went to projects that solved real people’s problems, and built solutions that were context-specific and relevant to its audience, applicants were required to include the user, in most cases a government or public entity, in the project team. We were also looking for projects that have the potential to generate learning and knowledge that can be shared, adapted, and reused in other settings.

From predicting the movements of internally displaced populations in Somalia to speeding up post-disaster damage assessments in Nepal; and from detecting the armyworm invasive species in Malawi to supporting older people in Kenya and India to map and advocate for the better availability of public services; the 12 selected projects summarized below show how new partnerships, new methods, and new data sources can be integrated to really “put data to work” for development.

This initiative is supported by the World Bank’s Trust Fund for Statistical Capacity Building (TFSCB) with financing from the United Kingdom’s Department for International Development (DFID), the Government of Korea and the Department of Foreign Affairs and Trade of Ireland.

2018 Innovation Fund Recipients

International Debt Statistics 2018 shows BRICs doubled bilateral lending commitments to low-income countries in 2016 to $84 billion

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The 2018 edition of International Debt Statistics (IDS) has just been published.

IDS 2018 presents statistics and analysis on the external debt and financial flows (debt and equity) of the world’s economies for 2016. It provides more than 200 time series indicators from 1970 to 2016 for most reporting countries. To access the report and related products you can:

This year’s edition is released less than 10 months after the 2016 reference period, making comprehensive debt statistics available faster than ever before. In addition to the data published in multiple formats online, IDS includes a concise analysis of the global debt landscape, which will be expanded on in a series of bulletins over the coming year.

Why monitor and analyze debt?

The core purpose of IDS is to measure the stocks and flows of debts in low- and middle-income countries that were borrowed from creditors outside the country. Broadly speaking, stocks of debt are the current liabilities that require payment of principal and/or interest to creditors outside the country. Flows of debt are new payments from, or repayments to, lenders.

These data are produced as part of the World Bank’s own work to monitor the creditworthiness of its clients and are widely used by others for analytical and operational purposes. Recurrent debt crises, including the global financial crisis of 2008, highlight the importance of measuring and monitoring external debt stocks and flows, and managing them sustainably. Here are three highlights from the analysis presented in IDS 2018:

Net financial inflows to low-and middle income countries grew, but IDA countries were left behind

In 2016, net financial flows into low- and middle-income countries grew to $773 billion - a more than three-fold increase over 2015 levels, but still lower than levels seen between 2012 and 2014.

However, this trend didn’t extend to the world’s poorest countries. Among the group of IDA-only countries, these flows fell 34% to $17.6 billion - their lowest level since 2011. This fall was driven by drops in inflows from bilateral and private creditors.

Global Partnership announces new round of funding for ‘Collaborative Data Innovations for Sustainable Development’

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Claire Melamed of the GPSDD & Mahmoud Mohieldin of the World Bank at the High Level Political Forum 2017

Following a successful round of pilot funding for development data innovation projects last year, the Global Partnership for Sustainable Development Data (GPSDD) has announced a second funding round for data for development projects, to open on August 1st 2017.

As part of the ‘Collaborative Data Innovations for Sustainable Development’ funding, which is supported by the World Bank’s Trust Fund for Statistical Capacity Building (TFSCB), GPSDD will seek innovative proposals for data production, dissemination and use.

This year’s call is anchored around two themes: ‘Leave No One Behind’ and the Environment. Once again, the focus is on work supporting low and lower-middle income countries, and on projects that bring together collaborations of different stakeholders to address concrete problems.

The new round of funding was announced by GPSDD’s Executive Director Claire Melamed at a High-Level Political Forum Event ‘Leave No One Behind: Ensuring inclusive SDG progress’ at United Nations HQ in New York. She said:

“There was a fantastic response to ‘Collaborative Data Innovations for Sustainable Development Pilot Funding’ last year, with 400 proposals, from which 10 outstanding ideas were selected. This year we are opening a new round to source innovative projects to protect the environment and ‘Leave No One Behind’.  For the 2017 round we are raising the bar even higher by asking applicants to collaborate from the outset, providing evidence of support from an organisation that is a potential end user. With a wealth of data innovation talent out there, we are excited to see who comes forward.”

The World Bank’s Senior Vice President for the 2030 Development Agenda, United Nations Relations, and Partnerships, Mahmoud Mohieldin, added:

Innovation work doesn't happen in isolation, it requires a network of ideas, individuals and institutions to come together to be more than a sum of their parts. We’ve found this network in the Global Partnership for Sustainable Development Data, and are pleased to be working together to identify and support new ideas to change the way development data are produced, managed and used.”  
 

Application Details and Funding Levels

New country classifications by income level: 2017-2018

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Updated country income classifications for the World Bank’s 2018 fiscal year are available here.

The World Bank assigns the world's economies into four income groups — high, upper-middle, lower-middle, and low. We base this assignment on GNI per capita calculated using the Atlas method. The units for this measure and for the thresholds is current US Dollars.

At the Bank, these classifications are used to aggregate data for groups of similar countries. The income-category of a country is not one of the factors used that influence lending decisions.

Each year on July 1st, we update the classifications. They change for two reasons:

1. In each country, factors such as income growth, inflation, exchange rates, and population change, influence GNI per capita.

2. To keep the dollar thresholds which separate the classifications fixed in real terms, we adjust them for inflation.

The data for the first adjustment come from estimates of 2016 GNI per capita which are now available. This year, the thresholds have moved down slightly because of low price inflation and the strengthening of the US dollar. Click here for information about how the World Bank classifies countries.

Updated Thresholds

New thresholds are determined at the start of the Bank’s fiscal year in July and remain fixed for 12 months regardless of subsequent revisions to estimates. As of July 1 2017, the new thresholds for classification by income are:

Threshold GNI/Capita (current US$)
Low-income < 1,005
Lower-middle income 1,006 - 3,955
Upper-middle income 3,956 - 12,235
High-income > 12,235

Changes in Classification

The following countries have new income groups:

Country Old group New group
Angola Upper-middle Lower-middle
Croatia High-income Upper-middle
Georgia Upper-middle Lower-middle
Jordan Upper-middle Lower-middle
Nauru High-income Upper-middle
Palau Upper-middle High-income
Samoa Lower-middle Upper-middle
Tonga Lower-middle Upper-middle

The country and lending groups page provides a complete list of economies classified by income, region, and lending status and links to previous years’ classifications. The classification tables include all World Bank members, plus all other economies with populations of more than 30,000. The term country, used interchangeably with economy, does not imply political independence but refers to any territory for which authorities report separate social or economic statistics.

Tables showing 2016 GNI, GNI per capita, GDP, GDP PPP, and Population data are also available as part of the World Bank's Open Data Catalog. Note that these are preliminary estimates and may be revised. For more information, please contact us at [email protected]

Discontinuing the DataFinder Mobile Apps

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Following the successful release of the new mobile-first data.worldbank.org we’re discontinuing the “DataFinder” series of apps for iOS and Android Devices.

The mobile apps have been popular since the launch of the Bank’s Open Data Initiative but have seen declining use since our switch to a mobile-first website.

As of July 1, the following apps will no longer be available:

  • World Bank DataFinder
  • World Bank Climate Change DataFinder
  • World Bank Gender DataFinder
  • World Bank HealthStats DataFinder
  • World Bank Jobs DataFinder
  • World Bank LAC Poverty DataFinder
  • World Bank Poverty DataFinder
  • ICP DataFinder

Apps already installed on devices will continue to function but will no longer receive any updates.

You can continue to access all the data presented in these apps via data.worldbank.org and through the databases listed in our data catalog.

Q4 2016 Update of World Development Indicators Available

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The World Development Indicators database has been updated. This is a regular quarterly update to over 800 indicators and includes both new indicators and updates to existing indicators. 

This release features new external debt data from the International Debt Statistics database, and revised data for national accounts, PPP series, balance of payments, FDI inflows, remittances, and monetary indicators. Updates have also been made for government finance indicators, malnutrition series, education aggregates, Enterprise Surveys, commercial banks, refugees, high-technology exports, and other trade-related indicators. IDA and IBRD group data have been adjusted to reflect Syrian Arab Republic's reclassification as an IDA only country.

Data can be accessed via various means including:

- The World Bank’s main multi-lingual and mobile-friendly data website, http://data.worldbank.org 
- The DataBank query tool: http://databank.worldbank.org which also includes archived, previous versions of WDI
- Bulk download in XLS and CSV formats and directly from the API
 

Q3 2016 Update of World Development Indicators Available

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The World Development Indicators database has been updated. This is a regular quarterly update to over 600 indicators and includes both new indicators and updates to existing indicators. 

Data have been updated for international poverty and shared prosperity indicators, balance of payments series, monetary indicators, Enterprise Surveys, FDI and portfolio equity flows, remittances, and indicators for education, health expenditure, HIV, immunization, CO2 emissions, statistical capacity, telecommunications, threatened species, private participation in infrastructure, research and development, intentional homicides, and battle-related deaths. The OECD aggregates have been updated to reflect the addition of Latvia.

New indicators have been added for HIV, gender, and educational attainment. 

National accounts data updates include Argentina, which was temporarily unclassified in July 2016 pending release  of revised statistics, and is classified as upper middle income for FY17. 

Data can be accessed via various means including:

- The World Bank’s main multi-lingual and mobile-friendly data website, http://data.worldbank.org 
- The DataBank query tool: http://databank.worldbank.org which also includes archived, previous versions of WDI
- Bulk download in XLS and CSV formats and directly from the API

 

New country classifications by income level: 2016-2017

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Also available in: العربية | Español | Français

Each year on July 1, the analytical classification of the world's economies based on estimates of gross national income (GNI) per capita for the previous year is revised. As of 1 July 2016, low-income economies are defined as those with a GNI per capita, calculated using the World Bank Atlas method, of $1,025 or less in 2015; lower middle-income economies are those with a GNI per capita between $1,026 and $4,035; upper middle-income economies are those with a GNI per capita between $4,036 and $12,475; high-income economies are those with a GNI per capita of $12,476 or more. The updated GNI per capita estimates are also used as input to the World Bank's operational guidelines that determines lending eligibility.

Changes in classification

The country and lending groups page provides a complete list of economies classified by income, region, and lending status. The classification tables include all World Bank members, plus all other economies with populations of more than 30,000. Please note, regions include economies at all income levels. The term country, used interchangeably with economy, does not imply political independence but refers to any territory for which authorities report separate social or economic statistics. Click here for information about how the World Bank classifies countries. The updated World Development Indicators database, GNI per capita data, and income-level aggregations will be available at data.worldbank.org from Tuesday July 5th.

Below you will find the list of countries with new income groups.

Economy Old group New group
Cambodia Low Lower middle
Equatorial Guinea High Upper middle
Georgia Lower middle Upper middle
Guyana Lower middle Upper middle
Mongolia Upper middle Lower middle
Russian Federation High Upper middle
Senegal Lower middle Low
Tonga Upper middle Lower middle
Tunisia Upper middle Lower middle
Venezuela, RB High Upper middle

Population estimates for certain countries with resident refugees

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From July 2016, an adjustment will be made to the population estimates published in World Development Indicators of five countries affected by the refugee situation in the Middle East and North Africa region: Iraq, Jordan, Lebanon, Syria, and Turkey. Previously, for these countries for 2011 onwards, refugees have been included in the population estimates of the country of origin. Going forward, population estimates will include refugees in the country in which they currently reside (also referred to as their country of asylum), rather than their country of origin. This means that Syrian refugees residing outside of Syria will no longer be counted in the Syrian population estimate.

This change improves the consistency between the population estimates of these countries and those   of countries in other regions, where estimates are based on a "de facto" definition – counting all residents, regardless of their legal status or citizenship. While population estimates are used for a wide variety of purposes, the change also improves the consistency between them and their use in estimating per capita incomes; the System of National Accounts does not distinguish between refugees and other groups of people for the purpose of determining residence, and this is the prevailing practice adopted by national statistical agencies.

The source of population estimates used for most low and middle-income countries, including these five countries, is the biennial United Nations Population Division's World Population Prospects. This uses a de facto definition of population, with refugees counted in their country of residence or asylum.

Indicators referenced in this posting:

 

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