Abstract

The World Bank is interested in gauging the views of clients and partners who are either involved in development in Sierra Leone or who observe activities related to social and economic development. The World Bank Country Assessment Survey is meant to give the World Bank's team that works in Sierra Leone, greater insight into how the Bank's work is perceived. This is one tool the World Bank uses to assess the views of its critical stakeholders. With this understanding, the World Bank hopes to develop more effective strategies, outreach and programs that support development in Sierra Leone. The World Bank commissioned an independent firm to oversee the logistics of this effort in Sierra Leone.

The survey was designed to achieve the following objectives: - Assist the World Bank in gaining a better understanding of how stakeholders in Sierra Leone perceive the Bank; - Obtain systematic feedback from stakeholders in Sierra Leone regarding: · Their views regarding the general environment in Sierra Leone; · Their overall attitudes toward the World Bank in Sierra Leone; · Overall impressions of the World Bank's effectiveness and results, knowledge work and activities, and communication and information sharing in Sierra Leone; · Perceptions of the World Bank's future role in Sierra Leone. - Use data to help inform Sierra Leone team's strategy.

Geographic coverage

National

Analysis unit

Stakeholder

Universe

Stakeholders of the World Bank in Sierra Leone

Kind of data

Sample survey data [ssd]

Sampling procedure

In March-April 2013, 600 stakeholders of the World Bank in Sierra Leone were invited to provide their opinions on the Bank's assistance to the country by participating in a country survey. Participants in the survey were drawn from among the office of the President; the office of the Prime Minister; the office of a Minister; the office of a Parliamentarian; employees of a ministry, ministerial department, or implementation agency; consultants/ contractors working on World Bank-supported projects/programs; project management units (PMUs) overseeing implementation of a project; local government officials or staff; bilateral and multilateral agencies; private sector organizations; private foundations; the financial sector/private banks; NGOs; community-based organizations; the media; independent government institutions; trade unions; faith-based groups; academia/research institutes/think tanks; judiciary branches; and other organizations.

Mode of data collection

Mail Questionnaire [mail]

Research instrument

The Questionnaire consists of 8 Sections:

A. General Issues Facing Sierra Leone: Respondents were asked to indicate whether Sierra Leone is headed in the right direction, what they thought were the top three most important development priorities in the country, and which areas would contribute most to reducing poverty and generating economic growth in Sierra Leone.

B. Overall Attitudes toward the World Bank: Respondents were asked to rate their familiarity with the World Bank, the Bank's effectiveness in Sierra Leone, Bank staff preparedness to help Sierra Leone solve its development challenges, their agreement with various statements regarding the Bank's work, and the extent to which the Bank is an effective development partner. Respondents were asked to indicate the sectoral areas on which it would be most productive for the Bank to focus its resources, the Bank's greatest values and weaknesses in its work, the most effective instruments in helping to reduce poverty in Sierra Leone, with which stakeholder groups the Bank should collaborate more, and to what reasons respondents attributed failed or slow reform efforts.

C. World Bank Effectiveness and Results: Respondents were asked to rate the extent to which the Bank's work helps achieve development results in Sierra Leone, the extent to which the Bank meets Sierra Leone's needs for knowledge services and financial instruments, and the Bank's level of effectiveness across forty-two development areas, such as education, energy, agricultural development, job creation/employment, infrastructure, and others.

D. The World Bank's Knowledge: Respondents were asked to indicate how frequently they consult Bank knowledge work/activities, the areas on which the Bank should focus its research efforts, and to rate the effectiveness and quality of the Bank's knowledge work/activities, including how significant of a contribution it makes to development results and its technical quality.

E. Working with the World Bank: Respondents were asked to rate their level of agreement with a series of statements regarding working with the Bank, such as the World Bank's "Safeguard Policy" requirements being reasonable, the Bank imposing reasonable conditions on its lending, disbursing funds promptly, increasing Sierra Leone's institutional capacity, and providing effective implementation support. Respondents also were asked that to what extent they believed the Bank was adequately staffed in Sierra Leone.

F. The Future Role of the World Bank in Sierra Leone: Respondents were asked to rate how significant a role the Bank should play in Sierra Leone's development in the near future and to indicate what the Bank should do to make itself of greater value. They were also asked about the effectiveness of the donors in their work to see through development results on the ground and the effectiveness of the Bank in helping forge regional economic integration.

G. Communication and Information Sharing: Respondents were asked to indicate how they get information about economic and social development issues, how they prefer to receive information from the Bank, and their usage and evaluation of the Bank's websites. Respondents were asked about their awareness of the Bank's Access to Information policy, past information requests from the Bank, and their level of agreement that they use more data from the World Bank as a result of the Bank's Open Data policy. Respondents were also asked about their level of agreement that they know how to find information from the Bank and that the Bank is responsive to information requests.

H. Background Information: Respondents were asked to indicate their current position, specialization, whether they professionally collaborate with the World Bank, their exposure to the Bank in Sierra Leone, and their geographic location.

Response rate

A total of 340 stakeholders participated in the survey (57% response rate).

United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Millenium development goals, Climate Change, External Debt, Trade.

This dataset provides the spread of the conflict globally in terms of population and country for the years 2000-2016.

GILD is a global database covering aspects of insolvency and creditor rights law. It promotes best practices in ICR law and provides access to the World Bank's Principles and Guidelines for Effective Insolvency and Creditor Rights Systems, ROSC Assessments, and updates on ICR-related events.

This dataset contains the GIS data used in the report, "Global Photovoltaic Power Potential by Country" generated by Solargis (https://solargis.com) with funding provided by the Energy Sector Management Assistance Program (ESMAP). The study summarizes global solar resource and PV power potential on a country and regional basis. Analysis is based on Solargis's high-resolution datasets, and GIS mask layers which are downloadable via the 'resources' tab. A country comparison spreadsheet is also provided as an additional download, which provides indicators of PV power potential for all countries as described in the study. The study provides:
• Ranking and comparison of countries and regions according to their PV potential;
• Approximate levelized cost of electricity (LCOE) relevant to current PV projects;
• Cross-correlation with the socio-economic indicators relevant to PV development.

Data information:
Format: raster (GeoTIFF)
size: 5.3 GB
Zip file contains README.txt

During the 2023 financial year, the International Finance Corporation (IFC), part of the World Bank Group, supported a significant amount of private sector growth in developing countries globally. By industry, a little over half of IFC commitments that year went towards financial markets. Infrastructure followed behind, composing 15 percent of IFC commitments during 2023.

Net official development assistance received (current US$) in World was reported at 243517562500 USD in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Net official development assistance received - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

IT: Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 15.300 % in 2021. This records a decrease from the previous number of 15.600 % for 2020. IT: Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 14.050 % from Dec 1977 (Median) to 2021, with 36 observations. The data reached an all-time high of 16.200 % in 1993 and a record low of 9.700 % in 1982. IT: Proportion of People Living Below 50 Percent Of Median Income: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Italy – Table IT.World Bank.WDI: Social: Poverty and Inequality. The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Graph and download economic data for Gross National Income for Burundi (MKTGNIBIA646NWDB) from 1960 to 2024 about Burundi, GNI, and income.

Abstract

The survey was conducted in Uganda between January 2013 and August 2013 as part of the Africa Enterprise Survey 2013 roll-out, an initiative of the World Bank. Data from 640 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses.

The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs and labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90 percent of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance. The mode of data collection is face-to-face interviews.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is an establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Uganda was selected using stratified random sampling. Three levels of stratification were used in this country: firm sector, firm size, and geographic region.

Industry stratification was designed in the way that follows: the universe was stratified into three manufacturing industry (food, textiles and garments, other manufacturing) and two service sectors (retail and other services).

Size stratification was defined following the standardized definition for the Enterprise Surveys: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.

Regional stratification for the Uganda ES was defined in six regions (city and the surrounding business area): Jinja, Kampala, Lira, Mbale, Mbarara, and Wakiso.

Uganda Bureau of Statistics database was used as a sampling frame with the aim of obtaining interviews with 600 establishments.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 2% (36 out of 1,567 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

The structure of the data base reflects the fact that 3 different versions of the survey instrument were used for all registered establishments. Questionnaires have common questions (Core module) and respectfully additional manufacturing and retail specific questions. The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the Core module, plus manufacturing specific questions). Retail firms have been interviewed using the Retail questionnaire (includes the Core module plus retail specific questions) and the residual eligible services have been covered using the Core module only. Each variation of the questionnaire is identified by the index variable, a0.

All variables are named using, first, the letter of each section and, second, the number of the variable within the section, i.e. a1 denotes section A, question 1 (some exceptions apply due to comparability reasons). Variable names proceeded by a prefix "KEN" and "A2F" indicate questions specific to some countries in Africa, therefore, they may not be found in the implementation of the rollout in other countries. All other suffixed variables are global and are present in all country surveys over the world. All variables are numeric with the exception of those variables with an "x" at the end of their names. The suffix "x" denotes that the variable is alpha-numeric. In the implementation of the Africa roll out 2011 an experiment was carried in some of the countries to better estimate the effects of the use of show cards in data collection. In some of the sections (i.e. innovation) the enumerators were trained to alternatively implement the section using either show cards or asking only the questions without showing any cards, please see the variable "cards".

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect "Refusal to respond" (-8) as a different option from "Don't know" (-9). b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

The number of contacted establishments per realized interview was 0.41. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.20.

Population ages 0-14, female in World was reported at 977538797 Persons in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Population ages 0-14, female - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Djibouti DJ: Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 17.200 % in 2017. This records a decrease from the previous number of 18.900 % for 2013. Djibouti DJ: Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 18.050 % from Dec 2002 (Median) to 2017, with 4 observations. The data reached an all-time high of 18.900 % in 2013 and a record low of 15.400 % in 2002. Djibouti DJ: Proportion of People Living Below 50 Percent Of Median Income: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Djibouti – Table DJ.World Bank.WDI: Social: Poverty and Inequality. The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Abstract

The World Bank is interested in gauging the views of clients and partners who are either involved in development in Botswana or who observe activities related to social and economic development. The World Bank Country Assessment Survey is meant to give the World Bank's team that works in Botswana, greater insight into how the Bank's work is perceived. This is one tool the World Bank uses to assess the views of its critical stakeholders. With this understanding, the World Bank hopes to develop more effective strategies, outreach and programs that support development in Botswana. The World Bank commissioned an independent firm to oversee the logistics of this effort in Botswana.

The survey was designed to achieve the following objectives: - Assist the World Bank in gaining a better understanding of how stakeholders in Botswana perceive the Bank; - Obtain systematic feedback from stakeholders in Botswana regarding: · Their views regarding the general environment in Botswana; · Their overall attitudes toward the World Bank in Botswana; · Overall impressions of the World Bank's effectiveness and results, knowledge and research, and communication and information sharing in Botswana; and · Perceptions of the World Bank's future role in Botswana. - Use data to help inform the Botswana country team's strategy.

Geographic coverage

National

Analysis unit

Stakeholder

Universe

Stakeholders of the World Bank in Botswana

Kind of data

Sample survey data [ssd]

Sampling procedure

From May to June 2013, 300 stakeholders of the World Bank in Botswana were invited to provide their opinions on the Bank's assistance to the country by participating in a country survey. Participants in the survey were drawn from employees of the Office of the President, Prime Minister; office of ministers; ministries, ministerial departments, or implementation agencies; consultants/ contractors working on World Bank-supported projects/programs; project management units (PMUs) overseeing implementation of a project; local government officials or staff; and respondents from bilateral and multilateral agencies; private sector organizations; financial sector and private banks; NGOs; CBOs; the media; independent government institutions; trade unions; faith-based groups; academia/research institutes/think tanks; and other organizations.

Mode of data collection

Mail Questionnaire [mail]

Research instrument

The Questionnaire consists of 8 Sections:

A. General Issues Facing Botswana: Respondents were asked to indicate whether Botswana is headed in the right direction, what they thought were the top three most important development priorities in the country, which areas would contribute most to reducing poverty and generating economic growth in Botswana.

B. Overall Attitudes toward the World Bank: Respondents were asked to rate their familiarity with the World Bank, the Bank's effectiveness in Botswana, staff preparedness to help Botswana solve its development challenges, their agreement with various statements regarding the Bank's work, and the extent to which the Bank is an effective development partner. Respondents were asked to indicate the Bank's greatest values, greatest weaknesses, the most effective instruments in helping reduce poverty in Botswana, with which stakeholder groups the Bank should collaborate more, in which sectoral areas the Bank should focus most resources, to what extent the Bank should seek to influence the global development agenda, and to what reasons respondents attributed failed/slow reform efforts.

C. World Bank Effectiveness and Results: Respondents were asked to rate the extent to which the Bank's work helps achieve development results, the extent to which the Bank meets Botswana's needs for knowledge services and financial instruments, and the Bank's level of effectiveness across twenty eight development areas, such as job creation/employment, poverty reduction, education, health, and public sector governance/reform.

D. The World Bank's Knowledge: Respondents were asked to indicate the areas on which the Bank should focus its research efforts and to rate the effectiveness and quality of the Bank's knowledge work and activities, including how significant of a contribution it makes to development results and its technical quality. Respondents were asked to also indicate to what extent they believe that Botswana received value for money from the Bank's fee-based products/services.

E. Working with the World Bank: Respondents were asked to rate their level of agreement with a series of statements regarding working with the Bank, such as the World Bank's "Safeguard Policy" requirements being reasonable, the Bank imposing reasonable conditions on its lending, disbursing funds promptly, increasing Botswana's institutional capacity, and providing effective implementation support.

F. The Future Role of the World Bank in Botswana: Respondents were asked to rate how significant a role the Bank should play in Botswana in the near future and to indicate what the Bank should do to make itself of greater value. They were asked to indicate where greater support from the Bank would be most valuable in regard to economic diversification, social protection, natural resource management, information and communication technology, transport infrastructure, and public sector reform. Respondents were also asked to indicate the areas in which Botswana would benefit most from the Bank play a leading role, the areas where Botswana should receive little to no resources from the Bank, and areas that should be left to the Government to manage without the Bank's support.

G. Communication and Information Sharing: Respondents were asked to indicate how they get information about economic and social development issues, how they prefer to receive information from the Bank, and their usage and evaluation of the Bank's websites. Respondents were asked about their awareness of the Bank's Access to Information policy, past information requests from the Bank, and their level of agreement that they use more data from the World Bank as a result of the Bank's Open Data policy. Respondents were also asked about their level of agreement that they know how to find information from the Bank, that the Bank's websites are easy to navigate and useful, and that the Bank is responsive to information requests. Respondents were also asked to indicate whether they primarily use the Bank's country website or the Bank's main website, which Internet connection they primarily use when visiting a Bank website, and whether they use/have used the Public Information Centers in Botswana.

H. Background Information: Respondents were asked to indicate their current position, specialization, whether they professionally collaborate with the World Bank, their exposure to the Bank in Botswana, and their geographic location.

Response rate

A total of 241 stakeholders participated in the survey (80% response rate).

The Economic Indicator Service (EIS) aims to deliver economic content to financial institutions on both buy and sell-side and service providers. This new service currently covers 34,351 recurring macro-economic indicators from 135 countries ( as of December 16, 2019 ) such as GDP data, unemployment releases, PMI numbers etc.

Economic Indicator Service gathers the major economic events from a variety of regions and countries around the globe and provides an Economic Events Data feed and Economic Calendar service to our clients. This service includes all previous historic data on economic indicators that are currently available on the database.

Depending on availability, information regarding economic indicators, including the details of the issuing agency as well as historical data series can be made accessible for the client. Key information about EIS: • Cloud-based service for Live Calendar – delivered via HTML/JavaScript application formats, which can then be embedded onto any website using iFrames • Alternatives methods available – such as API and JSON feed for the economic calendar that can be integrated into the company’s system • Live data – updated 24/5, immediately after the data has been released • Historical data – includes a feed of all previous economic indicators available We are currently adding additional indicators/countries from Africa as well as expanding our coverage of Indicators in G20. The calendar includes the following. • Recurring & Non-recurring indicators covering 136 countries across 21 regions. • Indicators showing high, medium, and low impact data. • Indicators showing actual, previous, and forecast data. • Indicators can be filtered across 16 subtypes. • News generation for selected high-impact data. • Indicator description and historical data up to the latest eight historical points with a chart.

School life expectancy, primary and secondary, both sexes (years) in World was reported at 10.51 years in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - School life expectancy, primary and secondary, both sexes (years) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Oman OM: Depth of Credit Information Index: 0=Low To 8=High data was reported at 6.000 NA in 2017. This stayed constant from the previous number of 6.000 NA for 2016. Oman OM: Depth of Credit Information Index: 0=Low To 8=High data is updated yearly, averaging 6.000 NA from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 6.000 NA in 2017 and a record low of 6.000 NA in 2017. Oman OM: Depth of Credit Information Index: 0=Low To 8=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Oman – Table OM.World Bank.WDI: Business Environment. Depth of credit information index measures rules affecting the scope, accessibility, and quality of credit information available through public or private credit registries. The index ranges from 0 to 8, with higher values indicating the availability of more credit information, from either a public registry or a private bureau, to facilitate lending decisions.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year. Data before 2013 are not comparable with data from 2013 onward due to methodological changes.

This dataset contains the International Surface Pressure Databank version 4.7 (ISPDv4), the world's largest collection of pressure observations. It has been gathered through international cooperation with data recovery facilitated by the ACRE Initiative and the other contributing organizations and assembled under the auspices of the GCOS Working Group on Surface Pressure and the WCRP/GCOS Working Group on Observational Data Sets for Reanalysis by NOAA Earth System Research Laboratory (ESRL), NOAA's National Climatic Data Center (NCDC), and the University of Colorado's Cooperative Institute for Research in Environmental Sciences (CIRES). The ISPDv4 consists of three components: station, marine, and tropical cyclone best track pressure observations. The station component is a blend of many national and international collections. In addition to the pressure observations and metadata, ISPDv4 contains feedback from the 20th Century Reanalysis version 3, including quality control information and uncertainty information. Support for the International Surface Pressure Databank is provided by the U.S. Department of Energy, Office of Science Biological and Environmental Research (BER), and by the National Oceanic and Atmospheric Administration Climate Program Office. The International Surface Pressure Databank version 4.7 and 20th Century Reanalysis version 3 used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231.

Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Millenium development goals, Climate Change, External Debt, Trade.

Abstract

The Country Opinion Survey in Bhutan assists the World Bank Group (WBG) in better understanding how stakeholders in Bhutan 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 Bhutan on 1) their views regarding the general environment in Bhutan; 2) their overall attitudes toward the WBG in Bhutan; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in Bhutan; and 4) their perceptions of the WBG’s future role in Bhutan.

Analysis unit

Stakeholders of the World Bank Group in Bhutan

Kind of data

Sample survey data [ssd]

Sampling procedure

From November 2023 to January 2024, a total of 310 stakeholders of the WBG in Bhutan were invited to provide their opinions about the WBG’s work in the country by participating in a Country Opinion Survey (COS). A list of potential participants was compiled by the WBG country team and the fielding agency. Participants were drawn from the Office of the Prime Minister or minister; the office of a parliamentarian, government institutions, state-owned enterprises, local governments, bilateral/ multilateral agencies, the private sector, civil society organizations, academia / research centers, and the media. A total of 155 stakeholders participated in the survey.

Mode of data collection

Internet [int]

Research instrument

The survey was conducted in English. The questionnaire is available for download as related material.

Response rate

The response rate was 51%

The results of this year’s survey were compared to the FY19 Survey, with a response rate of 53% (N=122). Comparing responses across Country Surveys reflects changes in attitudes over time, as well as changes in respondent samples, methodology, and the survey instrument itself. To reduce the influence of the latter factor, only those questions with similar response scales/options were analyzed. Additionally, this year, the COS project utilized a Pulse survey format, a shorter survey version conducted online by the BI team at the WBG. The differences in stakeholder composition between the two years—for example, a higher response from local government stakeholders — should be considered when interpreting the results of the past-year comparison analyses.