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Latest from the LSMS: New data from Tanzania and Nigeria, dynamics of wellbeing in Ethiopia & using non-standard units in data collection

Vini Vaid's picture

Message from Gero Carletto (Manager, LSMS)

It has been a busy few months for the LSMS team! Together with several Italian and African institutions, we recently launched the Partnership for Capacity Development in Household Surveys for Welfare Analysis. The initiative cements a long-term collaboration to train trainers from regional training institutions in Sub-Saharan Africa to harmonize survey data and promote the adoption of best practices in household surveys across the region (see below for more details). In addition, we have contributed to several international conferences and meetings, such as the Annual Bank Conference on Africa (featured below), where we witnessed the creative use of the data we helped collect and disseminate. Finally, LSMS was part of a documentary on the Public Broadcasting Service (PBS) called The Crowd & The Cloud. The fourth episode featured our very own Talip Kilic and the Uganda Bureau of Statistics, working hand in hand to produce household and farm-level panel data, which have been game changers in informing government policymaking and investment decisions, as well as in advancing the methodological frontier. We look forward to many more exciting quarters as we continue to work with our partners to improve the household survey landscape!

Using Non-Standard Units in Data Collection: The Latest in the LSMS Guidebook Series

Vini Vaid's picture
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Food consumption and agricultural production are two critical components for monitoring poverty and household well-being in low- and middle-income countries. Accurate measurement of both provides a better contextual understanding and contributes to more effective policy design.

At present, there is no standard methodology for collecting food quantities in national surveys. Often, respondents are required to estimate quantities in standard units (usually metric units), requiring respondents to convert into kilograms, for example, when many respondents are more comfortable reporting their food consumption and production using familiar “local” or “non-standard” units. But how many tomatoes are in one kilogram? How much does a local small tin or basket of maize flour weight? This conversion process is often an uncommon or abstract task for respondents and this added difficulty can introduce measurement error. Allowing respondents to report quantities directly in NSUs places less of a burden on respondents and may ultimately lead to better quality data by improving the accuracy of information provided.

This new Guidebook provides guidance for effectively including non-standard units (NSUs) into data-collection activities — from establishing the list of allowable NSUs to properly collecting conversion factors for the NSUs, with advice on how to incorporate all the components into data collection. An NSU-focused market survey is a critical part of preparing the conversion factors required for effectively using NSU data in analytical work. As such, the bulk of this Guidebook focuses on implementing the market survey and on calculating conversion factors to ensure the highest-quality data when using NSUs.

The Guidebook is the result of collaboration between the World Bank's Living Standards Measurement Study (LSMS) team, the Central Statistical Agency of Ethiopia, the National Bureau of Statistics in Nigeria, the National Statistics Office of Malawi, and the Uganda Bureau of Statistics.

For practical advice on household survey design, visit the LSMS Guidebooks page: http://go.worldbank.org/0ZOAP159L0

Supporting data for development: applications open for a new innovation fund

Haishan Fu's picture
Also available in: العربية | Français | 中文 | Español
Image credit: The Crowd and The Cloud


I’m pleased to announce that applications are now open for the second round of a new data innovation fund which was announced last month at the UN’s High Level Political Forum.

The fund will invest up to $2.5 million in Collaborative Data Innovations for Sustainable Development - ideas to improve the production, management and use of data in poor countries. This year the fund’s thematic areas are “Leave No One Behind” and the environment.

Details on eligibility, criteria and how to apply are here: bit.ly/wb-gpsdd-innovationfund-2017

The 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. DFID is the largest contributor to the TFSCB.

Supporting statistics for development

Here in the World Bank’s Development Data group, we’re looking forward to working with the Global Partnership for Sustainable Development Data (GPSDD) again following a successful pilot round of innovation funding last year. But you might be asking - why is the World Bank’s Data team helping to run a data innovation fund?

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

A New Look at Health, Nutrition & Population Data

Haruna Kashiwase's picture
Also available in: Español | العربية | Français




Data on the size and wellbeing of the world’s populations are among the most widely accessed information on the World Bank’s Data pages.

Today we’re releasing a revamped Health, Nutrition & Population (HNP) Data portal which offers a quick look at over 250 indicators covering topics such as health financing and the health workforce; immunization and the incidence of HIV and AIDS, malaria and tuberculosis, non-communicable diseases and the causes of death; nutrition, clean water and sanitation, and reproductive health; as well as population estimates and population projections.

We encourage you to explore the resources above, here are three stories you can find in the data:

1) In low-income countries, only half of births are attended by skilled health staff.

Delivery assistance provided by doctors, nurses, and trained midwives can save the lives of mothers and children.  While more than 70 percent births are attended by skilled health staff worldwide, this average falls to 51 percent in low-income countries. The poorest women are least likely to deliver babies with assistance from skilled health staff at birth.

New country classifications by income level: 2017-2018

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Also available in: Español | 中文 | Français | العربية

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 data@worldbank.org.

Q2 2017 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.

2016 data for population, GDP and GNI-related indicators have been released for countries and aggregates. Other data that have been updated include: balance of payments series, monetary indicators, military expenditure, and merchandise trade. The classifications of countries by income, and aggregations by income group reflect new fiscal year 2018 income classifications.

New Public Private Partnership series have been introduced in this release. The percentage of people with an account (SDG 8.10.2 from the Findex) is also available and disaggregated by sex, income, and education level.

Purchasing Power Parities have been updated for OECD and Eurostat countries to reflect their latest release. Purchasing Power Parities and related indicators in PPP terms for Cuba (expenditures, income, etc.) have been removed.

Data can be accessed via various means including:

- The World Bank’s multi-lingual, mobile-friendly data site, http://data.worldbank.org  
- The DataBank query tool: http://databank.worldbank.org 
- Bulk download in XLS and CSV formats and directly from the API

Chart: Globally, The Number of People Without Access to Electricity is Falling

Tariq Khokhar's picture

Electrification has expanded in all regions and in both urban and rural areas. South Asia has driven global declines, with just 28 percent of rural dwellers lacking electricity in 2014. In most regions, electrification has outpaced population growth. An exception is Sub-­Saharan Africa: 134 million more people in rural areas lacked access in 2014 than in 1994. Read more in the 2017 Atlas of Sustainable Development Goals and in a new feature on "Solar Powers India's Clean Energy Revolution"

 

Chart: Globally, Over 1 Billion People Lack Access to Electricity

Tariq Khokhar's picture
Also available in: العربية

In 2014, around 15 percent of the world’s population, or 1.1 billion had no access to electricity. Nearly half were in rural areas of Sub-Saharan Africa and around a third were rural dwellers in South Asia. Just four countries - India, Nigeria, Ethiopia and Bangladesh are home to about half of all people who lack access to electricity. Read more in the 2017 Atlas of Sustainable Development Goals and in a new feature on "Solar Powers India's Clean Energy Revolution"

 

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.

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