A little over six years ago, Neelam Kushwaha’s first daughter was born weighing 900 gm at birth, severely underweight. Neelam went into labor while working at the local construction site in Jori village, Rewa, Madhya Pradesh, India. Many people work at such local construction sites in rural areas for daily wages ranging from INR 150-280 (about $2- 4$) per day. Her daughter Manvi, was preterm, and Neelam spent months recovering from child birth complications.
Three years later, when Neelam was pregnant with her younger daughter, Sakshi, she quit wage labor and sought employment at an incense manufacturing unit established by World Bank’s Madhya Pradesh District Poverty Intervention Project (MPDPIP) in 2011. At her new role, she earned more and did not engage in labor intensive work during the final months of her pregnancy. Sakshi was born a healthy 3 kilos.
In the course of my field work supported by South Asia Food and Nutrition Security Initiative (SAFANSI) in 2015, I came across several similar stories.
MPDPIP’s livelihood based approach offered several opportunities towards income supplementation for women self-help groups (SHGs) and rural households through agriculture, dairy/poultry farming and local enterprises, among others.
As evident by Neelam’s experience, MPDPIP’s benefits went beyond income and spilled over into health improvement as well.
I learnt that prior to MPDPIP, childbirth in hospitals was difficult due to prohibitively high costs of travel and hospital stay. Pre-existing government schemes such as the Janani Suraksha Yojana (JSY) offer about INR 1,400 ($20) to rural women who opt for hospital deliveries. However, this payment occurs post-partum, and pre-delivery costs have to be borne upfront by pregnant women.
Post MPDPIP, women were able to opt for hospital deliveries with greater ease due to access to credit from their SHGs. This is particularly relevant for Madhya Pradesh as it has consistently fared poorly with respect to institutional deliveries.
Sri Lanka, the emerald isle, is endowed with natural beauty. Surrounded by the Indian Ocean, the island nation is replete with wondrous wildlife, magnificent landscapes and natural wonders.
Inspired by this, the World Bank in Sri Lanka organized a photo contest on 21st June, 2017. This contest, one of several organized by the Bank, is aimed at showcasing the many talented photographers among us as well as celebrating the rich flora and fauna of Sri Lanka.
We received an overwhelming response from many talented photographers, both professional and amateur, who sent us hundreds of awe-inspiring entries. The contest ended on 30th June, 2017. We have now shortlisted a total of 167 entries after removing those which had issues with reference to clarity, quality and relevance.
Now, it's time to look for the winners and we are putting you in the driver's seat. Crowdsourcing, as you know, is a very popular method of selection for online contests globally. Therefore, for this particular contest, the winner will be chosen on the basis of the number of likes that you have clicked.
Last December, James Dooley Sullivan packed his wheelchair and travelled to Jamaica. Sullivan, an animator and visual arts video editor at the World Bank Group, wanted to see first-hand what it’s like to be disabled in a developing country. He shares his experience and his own history in a video and a series of blog posts.
Luckily, when we land in Kingston we are greeted by the only leased van in all of Jamaica with a wheelchair lift. It fits me, my chair, my colleague Peter and all of the camera gear we’ll need to document my adventures learning about disability access in the developing world. What the van doesn’t have is working shock absorbers. I have to brace myself on a seat cushion as our driver Dereck tries to evade pot holes on the way to our hotel.
Whenever I check into a room I have to make some quick assessments. Here in Kingston, the carpet is thick and hard to push through, while the bed is spacious and at a suitable height. My new 17-inch wide chair just barely squeezes into the bathroom but the sink has a granite slab that whacks my knees. In the win column – there’s a handheld showerhead I can reach. In the no-win column – the toilet is really low and will need my complete concentration when in use.
Photo: Adam Cohn | Flickr Creative Commons
India, until recently the fastest growing economy in the world, realized long ago the need for developing infrastructure to fuel its growth. The government also realized that doing so with public funds would not be sufficient. Hence, India rolled out one of the largest Public-Private Partnership (PPP) programs in the world over the first decade of the 21st century.
But India’s massive program also brought with it some challenges, which eventually slowed down the growth of PPPs over the last five years. Yet, this was not the end of the program or our national infrastructure ambitions. This was a learning period, and the relevant government agencies have been efficient in mapping out the constraints that plagued the PPP market and are working on policies to remedy them. It remains to be seen whether or not the implementation of these corrective measures will put the jewel back in the crown of Indian PPPs, but it is a step in the right direction.
As an upper-middle income country with a majority of its population living in cities, Malaysia is situated among the countries that prove urbanization is key to achieving high-income status. Asking “How can we benefit further from urbanization?” Malaysian policymakers have identified competitive cities as a game changer in the 11th Malaysia Plan. To this end, the World Bank has worked with the government to better understand issues of urbanization and formulate strategies for strengthening the role of cities through the report, “Achieving a System of Competitive Cities in Malaysia.”
While Malaysia’s cities feature strong growth, low poverty rates, and wide coverage of basic services and amenities, challenges still remain.
Its larger cities are characterized by urban sprawl, particularly in Kuala Lumpur, where population density is low for an Asian metropolis. This inefficient urban form results in high transport costs and negative environmental impacts. This is matched by low economic density, indicating Malaysia’s cities can do better in maximizing the economic benefits from urban agglomeration.
A second challenge hampering Malaysia’s cities is the highly centralized approach to urban management and service delivery, a system that impedes the local level, and obstructs service delivery and effective implementation of urban and spatial plans.
Third is a growing recognition of the importance of promoting social inclusion to ensure that the benefits of urbanization are widely shared.
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.
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$)|
|Lower-middle income||1,006 - 3,955|
|Upper-middle income||3,956 - 12,235|
Changes in Classification
The following countries have new income groups:
|Country||Old group||New group|
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@example.com.
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