Name: Bhutan Spatial Database
Creator: World Bank Group

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

This collection contains discrepancy indexes for UN COMTRADE data that aims to capture both the frequency of missed reporting and its impact on overall recorded trade value

Discrepancy Index

A collection of datasets produced through partnership between the World Bank and the European Space Agency (ESA) Earth Observation for Sustainable Development (EO4SD) initiative.

Earth Observation for Sustainable Development

Open data and analytics for a sustainable energy future.

Energy Data Info

This collection features datasets to support building policies, institutions and investments for inclusive and sustainable growth.

Equitable Growth, Finance and Institutions

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

As part of the “Geospatial Assessment of Women Employment and Business Opportunities in the Energy Sector” project, open-source Gender-related spatial data was collected for 31 Small Island Developing States (SIDS) across the globe, resulting in curated and thoroughly documented geodatabases (GDBs) that are now ready to be explored! 
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

Collection of useful datasets from IMF made available to Bank staff via <a href=http://mydatabank.worldbank.org>myDataBank</a>

IMF Dataset

A collection of datasets to help finance the global infrastructure gap.

Infrastructure Finance Datasets

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

Library Databases

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>

LinkedIn Data for Development

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

This collection contains data on disaster and climate risk assessments curated by the Global Facility for Disaster Reduction and Recovery (GFDRR).

Risk Data Library

This collection presents software tools and models developed by the World Bank to support monitoring, planning, programming and the economic evaluation of roads and highways works.

Road Software Tools

This spatial database, a product of the South Asia Region Chief Economist's (SARCE) Office, presents data collected from official sources and harmonized into different spatial levels. Data includes economic and environmental data across 12 topic areas, and includes data from four countries in South Asia (Bangladesh, Bhutan, India, and Nepal) for both 2001 and 2011.

SARCE Spatial Database

A collection of country Small Area Estimation (SAE) and Poverty Mapping that contains papers, shapefiles, and datasets produced through partnerships between the World Bank and country statistics offices.

Small area estimates / Poverty mapping

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.

Syria Economic Monitor

A collection of relevant datasets to support operations in Ukraine.

Ukraine datasets

Catalogue lists all the data produced under the partnership contracts between the World Bank Group and the European Space Agency

World Bank (WBG) - European Space Agency (ESA) Database

A collection of datasets to help achieve universal access to reliable and fast internet services for all.

World Bank Digital Development Data

A collection of datasets to help achieve sustainable energy for all.

World Bank Energy Datasets

A collection of datasets to help achieve sustainable mobility for all.

World Bank Transport Data

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.

World Bank Water Data

The World Development Report 2021: Data for Better Lives explores the tremendous potential of the changing data landscape to improve the lives of poor people, while also acknowledging its potential to open back doors that can harm individuals, businesses, and societies. To address this tension between the helpful and harmful potential of data, this Report calls for a new social contract that enables the use and reuse of data to create economic and social value, ensures equitable access to that value, and fosters trust that data will not be misused in harmful ways. The data used in the WDR2021 are curated as a collection here.

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

Indicators include: 
Gender ratio, all ages (percent)
Gender ratio, 0-4 years (percent)
Dependency ratio, 0-14 or 65+ years (percent)
Dependency ratio, 65+ years (percent)
Dependency ratio, 0-14 years (percent)
Light intensity per 1000 people(Digital Numbers of light per 1000 people)
Light intensity per area (Digital Numbers of light per sq. km.)
Literacy rate,7+ years,total(percent of population group)
Literacy rate,7+ years,female(percent of population group)
Literacy rate,7+ years,male(percent of population group)
Monthly temperature - Jan (Co)
Monthly temperature - Feb (Co)
Monthly temperature - Mar (Co)
Monthly temperature - Apr (Co)
Monthly temperature - May (Co)
Monthly temperature - Jun (Co)
Monthly temperature - Jul (Co)
Monthly temperature - Aug (Co)
Monthly temperature - Sep (Co)
Monthly temperature - Oct (Co)
Monthly temperature - Nov (Co)
Monthly temperature - Dec (Co)
Decadal average of monthly temperature - Jan (Co)
Decadal average of monthly temperature - Feb (Co)
Decadal average of monthly temperature - Mar (Co)
Decadal average of monthly temperature - Apr (Co)
Decadal average of monthly temperature - May (Co)
Decadal average of monthly temperature - Jun (Co)
Decadal average of monthly temperature - Jul (Co)
Decadal average of monthly temperature - Aug (Co)
Decadal average of monthly temperature - Sep (Co)
Decadal average of monthly temperature - Oct (Co)
Decadal average of monthly temperature - Nov (Co)
Decadal average of monthly temperature - Dec (Co)
Decadal variation of monthly temperature - Jan (Co)
Decadal variation of monthly temperature - Feb (Co)
Decadal variation of monthly temperature - Mar (Co)
Decadal variation of monthly temperature - Apr (Co)
Decadal variation of monthly temperature - May (Co)
Decadal variation of monthly temperature - Jun (Co)
Decadal variation of monthly temperature - Jul (Co)
Decadal variation of monthly temperature - Aug (Co)
Decadal variation of monthly temperature - Sep (Co)
Decadal variation of monthly temperature - Oct (Co)
Decadal variation of monthly temperature - Nov (Co)
Decadal variation of monthly temperature - Dec (Co)
Temperature anomaly - Jan (Co)
Temperature anomaly - Feb (Co)
Temperature anomaly - Mar (Co)
Temperature anomaly - Apr (Co)
Temperature anomaly - May (Co)
Temperature anomaly - Jun (Co)
Temperature anomaly - Jul (Co)
Temperature anomaly - Aug (Co)
Temperature anomaly - Sep (Co)
Temperature anomaly - Oct (Co)
Temperature anomaly - Nov (Co)
Temperature anomaly - Dec (Co)
Precipitation - Jan (millimeters)
Precipitation - Feb (millimeters)
Precipitation - Mar (millimeters)
Precipitation - Apr (millimeters)
Precipitation - May (millimeters)
Precipitation - Jun (millimeters)
Precipitation - Jul (millimeters)
Precipitation - Aug (millimeters)
Precipitation - Sep (millimeters)
Precipitation - Oct (millimeters)
Precipitation - Nov (millimeters)
Precipitation - Dec (millimeters)
Decadal average of monthly precipitation - Jan (millimeters)
Decadal average of monthly precipitation - Feb (millimeters)
Decadal average of monthly precipitation - Mar (millimeters)
Decadal average of monthly precipitation - Apr (millimeters)
Decadal average of monthly precipitation - May (millimeters)
Decadal average of monthly precipitation - Jun (millimeters)
Decadal average of monthly precipitation - Jul (millimeters)
Decadal average of monthly precipitation - Aug (millimeters)
Decadal average of monthly precipitation - Sep (millimeters)
Decadal average of monthly precipitation - Oct (millimeters)
Decadal average of monthly precipitation - Nov (millimeters)
Decadal average of monthly precipitation - Dec (millimeters)
Decadal variation of monthly precipitation - Jan (millimeters)
Decadal variation of monthly precipitation - Feb (millimeters)
Decadal variation of monthly precipitation - Mar (millimeters)
Decadal variation of monthly precipitation - Apr (millimeters)
Decadal variation of monthly precipitation - May (millimeters)
Decadal variation of monthly precipitation - Jun (millimeters)
Decadal variation of monthly precipitation - Jul (millimeters)
Decadal variation of monthly precipitation - Aug (millimeters)
Decadal variation of monthly precipitation - Sep (millimeters)
Decadal variation of monthly precipitation - Oct (millimeters)
Decadal variation of monthly precipitation - Nov (millimeters)
Decadal variation of monthly precipitation - Dec (millimeters)
Precipitation anomaly - Jan (millimeters)
Precipitation anomaly - Feb (millimeters)
Precipitation anomaly - Mar (millimeters)
Precipitation anomaly - Apr (millimeters)
Precipitation anomaly - May (millimeters)
Precipitation anomaly - Jun (millimeters)
Precipitation anomaly - Jul (millimeters)
Precipitation anomaly - Aug (millimeters)
Precipitation anomaly - Sep (millimeters)
Precipitation anomaly - Oct (millimeters)
Precipitation anomaly - Nov (millimeters)
Precipitation anomaly - Dec (millimeters)
Cropland (percent of area)
Forest (percent of area)
Mineral facilities - Total  (number of facilities)
Mineral facilities - Public  (number of facilities)
Mineral facilities - Private  (number of facilities)
Mineral facilities - Foreign  (number of facilities)
Mineral production capacity  (million metric tons per year )
Protected land - Total (percent of area)
Protected land - National (percent of area)
Protected land - International (percent of area)
Aerosol particle radius (percent of small particles)
Aerosol optical thickness (thickness scale  0-1 )
Carbon monoxide levels (parts per billion by volume)
Nitrogen dioxide levels (billion molecules/mm2)
Households' access to electricity, total(percent of households)
Households's use of fuel for lighting,kerosene(percent of households)
Households's use of fuel for lighting,Biogas(percent of households)
Households's use of fuel for lighting,Electricity(percent of households)
Households's use of fuel for lighting,Others(percent of households)
Households's use of fuel for lighting,No lightning arrangement(percent of househ
Housing units built with substantial solid material, total(percent of households
Households' access to improved water,total(percent of households)
Households' access to improved sanitation,total(percent of households)
Households' access to enhanced improved sanitation,total(percent of households)
People per household,total(people)
Area (sq. km.)
Population (thousands)
Population density (people per sq. km.)
Area (sq. km.)
Population (thousands)
Population density (people per sq. km.)
Area (sq. km.)
Population (thousands)
Population density (people per sq. km.)

Bhutan Spatial Database Level 2 - 2001

Indicators include: 
Light intensity per 1000 people(Digital Numbers of light per 1000 people)
Light intensity per area (Digital Numbers of light per sq. km.)
Monthly temperature - Jan (Co)
Monthly temperature - Feb (Co)
Monthly temperature - Mar (Co)
Monthly temperature - Apr (Co)
Monthly temperature - May (Co)
Monthly temperature - Jun (Co)
Monthly temperature - Jul (Co)
Monthly temperature - Aug (Co)
Monthly temperature - Sep (Co)
Monthly temperature - Oct (Co)
Monthly temperature - Nov (Co)
Monthly temperature - Dec (Co)
Decadal average of monthly temperature - Jan (Co)
Decadal average of monthly temperature - Feb (Co)
Decadal average of monthly temperature - Mar (Co)
Decadal average of monthly temperature - Apr (Co)
Decadal average of monthly temperature - May (Co)
Decadal average of monthly temperature - Jun (Co)
Decadal average of monthly temperature - Jul (Co)
Decadal average of monthly temperature - Aug (Co)
Decadal average of monthly temperature - Sep (Co)
Decadal average of monthly temperature - Oct (Co)
Decadal average of monthly temperature - Nov (Co)
Decadal average of monthly temperature - Dec (Co)
Decadal variation of monthly temperature - Jan (Co)
Decadal variation of monthly temperature - Feb (Co)
Decadal variation of monthly temperature - Mar (Co)
Decadal variation of monthly temperature - Apr (Co)
Decadal variation of monthly temperature - May (Co)
Decadal variation of monthly temperature - Jun (Co)
Decadal variation of monthly temperature - Jul (Co)
Decadal variation of monthly temperature - Aug (Co)
Decadal variation of monthly temperature - Sep (Co)
Decadal variation of monthly temperature - Oct (Co)
Decadal variation of monthly temperature - Nov (Co)
Decadal variation of monthly temperature - Dec (Co)
Temperature anomaly - Jan (Co)
Temperature anomaly - Feb (Co)
Temperature anomaly - Mar (Co)
Temperature anomaly - Apr (Co)
Temperature anomaly - May (Co)
Temperature anomaly - Jun (Co)
Temperature anomaly - Jul (Co)
Temperature anomaly - Aug (Co)
Temperature anomaly - Sep (Co)
Temperature anomaly - Oct (Co)
Temperature anomaly - Nov (Co)
Temperature anomaly - Dec (Co)
Precipitation - Jan (millimeters)
Precipitation - Feb (millimeters)
Precipitation - Mar (millimeters)
Precipitation - Apr (millimeters)
Precipitation - May (millimeters)
Precipitation - Jun (millimeters)
Precipitation - Jul (millimeters)
Precipitation - Aug (millimeters)
Precipitation - Sep (millimeters)
Precipitation - Oct (millimeters)
Precipitation - Nov (millimeters)
Precipitation - Dec (millimeters)
Decadal average of monthly precipitation - Jan (millimeters)
Decadal average of monthly precipitation - Feb (millimeters)
Decadal average of monthly precipitation - Mar (millimeters)
Decadal average of monthly precipitation - Apr (millimeters)
Decadal average of monthly precipitation - May (millimeters)
Decadal average of monthly precipitation - Jun (millimeters)
Decadal average of monthly precipitation - Jul (millimeters)
Decadal average of monthly precipitation - Aug (millimeters)
Decadal average of monthly precipitation - Sep (millimeters)
Decadal average of monthly precipitation - Oct (millimeters)
Decadal average of monthly precipitation - Nov (millimeters)
Decadal average of monthly precipitation - Dec (millimeters)
Decadal variation of monthly precipitation - Jan (millimeters)
Decadal variation of monthly precipitation - Feb (millimeters)
Decadal variation of monthly precipitation - Mar (millimeters)
Decadal variation of monthly precipitation - Apr (millimeters)
Decadal variation of monthly precipitation - May (millimeters)
Decadal variation of monthly precipitation - Jun (millimeters)
Decadal variation of monthly precipitation - Jul (millimeters)
Decadal variation of monthly precipitation - Aug (millimeters)
Decadal variation of monthly precipitation - Sep (millimeters)
Decadal variation of monthly precipitation - Oct (millimeters)
Decadal variation of monthly precipitation - Nov (millimeters)
Decadal variation of monthly precipitation - Dec (millimeters)
Precipitation anomaly - Jan (millimeters)
Precipitation anomaly - Feb (millimeters)
Precipitation anomaly - Mar (millimeters)
Precipitation anomaly - Apr (millimeters)
Precipitation anomaly - May (millimeters)
Precipitation anomaly - Jun (millimeters)
Precipitation anomaly - Jul (millimeters)
Precipitation anomaly - Aug (millimeters)
Precipitation anomaly - Sep (millimeters)
Precipitation anomaly - Oct (millimeters)
Precipitation anomaly - Nov (millimeters)
Precipitation anomaly - Dec (millimeters)
Cropland (percent of area)
Forest (percent of area)
Mineral facilities - Total  (number of facilities)
Mineral facilities - Public  (number of facilities)
Mineral facilities - Private  (number of facilities)
Mineral facilities - Foreign  (number of facilities)
Mineral production capacity  (million metric tons per year )
Protected land - Total (percent of area)
Protected land - National (percent of area)
Protected land - International (percent of area)
Aerosol particle radius (percent of small particles)
Aerosol optical thickness (thickness scale  0-1 )
Carbon monoxide levels (parts per billion by volume)
Nitrogen dioxide levels (billion molecules/mm2)
Elevation (meters)
Surface roughness (meters)
Land area equipped for irrigation - Total (percent of land area)
Land area actually irrigated (percent of land area)
Land area equipped for irrigation  - Ground water (percent of land area)
Land area equipped for irrigation  - Surface water (percent of land area)
Land area with limited or no constraints (percent of land area)
Road length,Total(km.)
Road length,Major highways, primary and secondary(km.)
Road length,Tertiary and rural(km.)
Road length,Other(km.)
Road intensity,Total(km. per 1000 sq. km.)
Road intensity,Major highways, primary and secondary(km. per 1000 sq. km.)
Road intensity,Tertiary and rural(km. per 1000 sq. km.)
Road intensity,Other(km. per 1000 sq. km.)
Number of stations,Total(stations)
Number of stations,Railway(stations)
Number of stations,Total(stations per 1000 sq. km.)
Number of stations,Railway(stations per 1000 sq. km.)
Area (sq. km.)
Population (thousands)
Population density (people per sq. km.)
Area (sq. km.)
Population (thousands)
Population density (people per sq. km.)

Bhutan Spatial Database Level 2 - 2011

Indicators include: 
Gender ratio, all ages (percent)
Gender ratio, 0-4 years (percent)
Dependency ratio, 0-14 or 65+ years (percent)
Dependency ratio, 65+ years (percent)
Dependency ratio, 0-14 years (percent)
Crude birth rate, total (live births per 1000 people)
 Crude death rate, total (deaths per 1000 people)
Light intensity per 1000 people(Digital Numbers of light per 1000 people)
Light intensity per area (Digital Numbers of light per sq. km.)
Literacy rate,7+ years,total(percent of population group)
Literacy rate,7+ years,female(percent of population group)
Literacy rate,7+ years,male(percent of population group)
Gross primary enrollment, total(percent of population group)
Gross primary enrollment, female (percent of population group)
Gross primary enrollment, male (percent of population group)
Out of school children, total(percent of population group)
Out of school children, female(percent of population group)
Out of school children, male(percent of population group)
Monthly temperature - Jan (Co)
Monthly temperature - Feb (Co)
Monthly temperature - Mar (Co)
Monthly temperature - Apr (Co)
Monthly temperature - May (Co)
Monthly temperature - Jun (Co)
Monthly temperature - Jul (Co)
Monthly temperature - Aug (Co)
Monthly temperature - Sep (Co)
Monthly temperature - Oct (Co)
Monthly temperature - Nov (Co)
Monthly temperature - Dec (Co)
Decadal average of monthly temperature - Jan (Co)
Decadal average of monthly temperature - Feb (Co)
Decadal average of monthly temperature - Mar (Co)
Decadal average of monthly temperature - Apr (Co)
Decadal average of monthly temperature - May (Co)
Decadal average of monthly temperature - Jun (Co)
Decadal average of monthly temperature - Jul (Co)
Decadal average of monthly temperature - Aug (Co)
Decadal average of monthly temperature - Sep (Co)
Decadal average of monthly temperature - Oct (Co)
Decadal average of monthly temperature - Nov (Co)
Decadal average of monthly temperature - Dec (Co)
Decadal variation of monthly temperature - Jan (Co)
Decadal variation of monthly temperature - Feb (Co)
Decadal variation of monthly temperature - Mar (Co)
Decadal variation of monthly temperature - Apr (Co)
Decadal variation of monthly temperature - May (Co)
Decadal variation of monthly temperature - Jun (Co)
Decadal variation of monthly temperature - Jul (Co)
Decadal variation of monthly temperature - Aug (Co)
Decadal variation of monthly temperature - Sep (Co)
Decadal variation of monthly temperature - Oct (Co)
Decadal variation of monthly temperature - Nov (Co)
Decadal variation of monthly temperature - Dec (Co)
Temperature anomaly - Jan (Co)
Temperature anomaly - Feb (Co)
Temperature anomaly - Mar (Co)
Temperature anomaly - Apr (Co)
Temperature anomaly - May (Co)
Temperature anomaly - Jun (Co)
Temperature anomaly - Jul (Co)
Temperature anomaly - Aug (Co)
Temperature anomaly - Sep (Co)
Temperature anomaly - Oct (Co)
Temperature anomaly - Nov (Co)
Temperature anomaly - Dec (Co)
Precipitation - Jan (millimeters)
Precipitation - Feb (millimeters)
Precipitation - Mar (millimeters)
Precipitation - Apr (millimeters)
Precipitation - May (millimeters)
Precipitation - Jun (millimeters)
Precipitation - Jul (millimeters)
Precipitation - Aug (millimeters)
Precipitation - Sep (millimeters)
Precipitation - Oct (millimeters)
Precipitation - Nov (millimeters)
Precipitation - Dec (millimeters)
Decadal average of monthly precipitation - Jan (millimeters)
Decadal average of monthly precipitation - Feb (millimeters)
Decadal average of monthly precipitation - Mar (millimeters)
Decadal average of monthly precipitation - Apr (millimeters)
Decadal average of monthly precipitation - May (millimeters)
Decadal average of monthly precipitation - Jun (millimeters)
Decadal average of monthly precipitation - Jul (millimeters)
Decadal average of monthly precipitation - Aug (millimeters)
Decadal average of monthly precipitation - Sep (millimeters)
Decadal average of monthly precipitation - Oct (millimeters)
Decadal average of monthly precipitation - Nov (millimeters)
Decadal average of monthly precipitation - Dec (millimeters)
Decadal variation of monthly precipitation - Jan (millimeters)
Decadal variation of monthly precipitation - Feb (millimeters)
Decadal variation of monthly precipitation - Mar (millimeters)
Decadal variation of monthly precipitation - Apr (millimeters)
Decadal variation of monthly precipitation - May (millimeters)
Decadal variation of monthly precipitation - Jun (millimeters)
Decadal variation of monthly precipitation - Jul (millimeters)
Decadal variation of monthly precipitation - Aug (millimeters)
Decadal variation of monthly precipitation - Sep (millimeters)
Decadal variation of monthly precipitation - Oct (millimeters)
Decadal variation of monthly precipitation - Nov (millimeters)
Decadal variation of monthly precipitation - Dec (millimeters)
Precipitation anomaly - Jan (millimeters)
Precipitation anomaly - Feb (millimeters)
Precipitation anomaly - Mar (millimeters)
Precipitation anomaly - Apr (millimeters)
Precipitation anomaly - May (millimeters)
Precipitation anomaly - Jun (millimeters)
Precipitation anomaly - Jul (millimeters)
Precipitation anomaly - Aug (millimeters)
Precipitation anomaly - Sep (millimeters)
Precipitation anomaly - Oct (millimeters)
Precipitation anomaly - Nov (millimeters)
Precipitation anomaly - Dec (millimeters)
Cropland (percent of area)
Forest (percent of area)
Mineral facilities - Total  (number of facilities)
Mineral facilities - Public  (number of facilities)
Mineral facilities - Private  (number of facilities)
Mineral facilities - Foreign  (number of facilities)
Mineral production capacity  (million metric tons per year )
Protected land - Total (percent of area)
Protected land - National (percent of area)
Protected land - International (percent of area)
Aerosol particle radius (percent of small particles)
Aerosol optical thickness (thickness scale  0-1 )
Carbon monoxide levels (parts per billion by volume)
Nitrogen dioxide levels (billion molecules/mm2)
Infant mortality rate, total (deaths per 1,000 live births)
Under-five mortality rate, total (deaths per 1,000 live births)
Households' access to cellphone,total(percent of households)
Households' access to computer,total(percent of households)
Households' access to electricity, total(percent of households)
Households's use of fuel for lighting,kerosene(percent of households)
Households's use of fuel for lighting,Biogas(percent of households)
Households's use of fuel for lighting,Electricity(percent of households)
Households's use of fuel for lighting,Others(percent of households)
Households's use of fuel for lighting,No lightning arrangement(percent of househ
Housing units built with substantial solid material, total(percent of households
Households' access to improved water,total(percent of households)
Households' access to improved sanitation,total(percent of households)
Households' access to enhanced improved sanitation,total(percent of households)
Employment by sector,Agriculture(percent of total employment)
Employment by sector,Manufacturing(percent of total employment)
Employment by sector,Industry (incl. manufacturing)(percent of total employment)
Employment by sector,Services(percent of total employment)
Farmers, Female(percent of total employment)
Farmers, Male(percent of total employment)
Farmers, Total(percent of total employment)
Self-employed, Female(percent of total employment)
Self-employed, Male(percent of total employment)
Self-employed, Total(percent of total employment)
Casual wage earners, Female(percent of total employment)
Casual wage earners, Male(percent of total employment)
Casual wage earners, Total(percent of total employment)
Regular wage earners, Female(percent of total employment)
Regular wage earners, Male(percent of total employment)
Regular wage earners, Total(percent of total employment)
Working-age population, 15+ years, Total(percent)
Working-age population, 15+ years, Female(percent)
Working-age population, 15+ years, Male(percent)
Labor force participation, 15+ years, weekly, Total(percent of age group)
Labor force participation, 15+ years, weekly, Female(percent of age group)
Labor force participation, 15+ years, weekly, Male(percent of age group)
Employment rate, 15+ years, yearly, Total(percent of age group)
Employment rate, 15+ years, yearly, Female(percent of age group)
Employment rate, 15+ years, yearly, Male(percent of age group)
Unemployment rate, 15+ years, weekly, Total(percent of labor force)
Unemployment rate, 15+ years, weekly, Female(percent of labor force)
Unemployment rate, 15+ years, weekly, Male(percent of labor force)
Unemployment rate, 15-24 years, weekly, Total(percent of labor force)
Unemployment rate, 15-24 years, weekly, Female(percent of labor force)
Unemployment rate, 15-24 years, weekly, Male(percent of labor force)
People per household,total(people)
People per room,total(people)
Housing ownership(percent of households)
Area (sq. km.)
Population (thousands)
Population density (people per sq. km.)
Area (sq. km.)
Population (thousands)
Population density (people per sq. km.)
Area (sq. km.)
Population (thousands)
Population density (people per sq. km.)

Bhutan Spatial Database Level 1 - 2001

Indicators include: 
Gender ratio, all ages (percent)
Gender ratio, 0-4 years (percent)
Dependency ratio, 0-14 or 65+ years (percent)
Dependency ratio, 65+ years (percent)
Dependency ratio, 0-14 years (percent)
Crude birth rate, total (live births per 1000 people)
 Crude death rate, total (deaths per 1000 people)
 Crude death rate, female (deaths per 1000 people)
 Crude death rate, male (deaths per 1000 people)
Light intensity per 1000 people(Digital Numbers of light per 1000 people)
Light intensity per area (Digital Numbers of light per sq. km.)
Crop yield,  monetary - All (2011 USD per ha., in thousands)
Crop yield,  monetary - Millets (2011 USD per ha., in thousands)
Crop yield,  monetary - Pulses (2011 USD per ha., in thousands)
Crop yield,  monetary - Rice(2011 USD per ha., in thousands)
Crop yield,  monetary - Sugar cane (2011 USD per ha., in thousands)
Crop yield,  monetary - Wheat (2011 USD per ha., in thousands)
Crop yield,  monetary - Maize(2011 USD per ha., in thousands)
Crop yield,  monetary - Groundnut (2011 USD per ha., in thousands)
Crop yield,  quantity - All (tonnes per ha.)
Crop yield,  quantity - Millets(tonnes per ha.)
Crop yield,  quantity - Pulses(tonnes per ha.)
Crop yield,  quantity - Rice(tonnes per ha.)
Crop yield,  quantity - Sugar cane(tonnes per ha.)
Crop yield,  quantity - Wheat(tonnes per ha.)
Crop yield,  quantity - Maize(tonnes per ha.)
Crop yield,  quantity - Groundnut(tonnes per ha.)
Literacy rate,7+ years,total(percent of population group)
Literacy rate,7+ years,male(percent of population group)
Literacy rate,7+ years,female(percent of population group)
Literacy rate,15+ years,total(percent of population group)
Literacy rate,15+ years,male(percent of population group)
Literacy rate,15+ years,female(percent of population group)
Secondary education completion rate,15+ years,total(percent of population group)
Secondary education completion rate,15+ years,male(percent of population group)
Secondary education completion rate,15+ years,female(percent of population group
Tertiary education completion rate,15+ years,total(percent of population group)
Tertiary education completion rate,15+ years,male(percent of population group)
Tertiary education completion rate,15+ years,female(percent of population group)
Pupil-teacher ratio in primary schools (students per teacher)
Gross primary enrollment, total(percent of population group)
Gross primary enrollment, female (percent of population group)
Gross primary enrollment, male (percent of population group)
Out of school children, total(percent of population group)
Out of school children, female(percent of population group)
Out of school children, male(percent of population group)
Monthly temperature - Jan (Co)
Monthly temperature - Feb (Co)
Monthly temperature - Mar (Co)
Monthly temperature - Apr (Co)
Monthly temperature - May (Co)
Monthly temperature - Jun (Co)
Monthly temperature - Jul (Co)
Monthly temperature - Aug (Co)
Monthly temperature - Sep (Co)
Monthly temperature - Oct (Co)
Monthly temperature - Nov (Co)
Monthly temperature - Dec (Co)
Decadal average of monthly temperature - Jan (Co)
Decadal average of monthly temperature - Feb (Co)
Decadal average of monthly temperature - Mar (Co)
Decadal average of monthly temperature - Apr (Co)
Decadal average of monthly temperature - May (Co)
Decadal average of monthly temperature - Jun (Co)
Decadal average of monthly temperature - Jul (Co)
Decadal average of monthly temperature - Aug (Co)
Decadal average of monthly temperature - Sep (Co)
Decadal average of monthly temperature - Oct (Co)
Decadal average of monthly temperature - Nov (Co)
Decadal average of monthly temperature - Dec (Co)
Decadal variation of monthly temperature - Jan (Co)
Decadal variation of monthly temperature - Feb (Co)
Decadal variation of monthly temperature - Mar (Co)
Decadal variation of monthly temperature - Apr (Co)
Decadal variation of monthly temperature - May (Co)
Decadal variation of monthly temperature - Jun (Co)
Decadal variation of monthly temperature - Jul (Co)
Decadal variation of monthly temperature - Aug (Co)
Decadal variation of monthly temperature - Sep (Co)
Decadal variation of monthly temperature - Oct (Co)
Decadal variation of monthly temperature - Nov (Co)
Decadal variation of monthly temperature - Dec (Co)
Temperature anomaly - Jan (Co)
Temperature anomaly - Feb (Co)
Temperature anomaly - Mar (Co)
Temperature anomaly - Apr (Co)
Temperature anomaly - May (Co)
Temperature anomaly - Jun (Co)
Temperature anomaly - Jul (Co)
Temperature anomaly - Aug (Co)
Temperature anomaly - Sep (Co)
Temperature anomaly - Oct (Co)
Temperature anomaly - Nov (Co)
Temperature anomaly - Dec (Co)
Precipitation - Jan (millimeters)
Precipitation - Feb (millimeters)
Precipitation - Mar (millimeters)
Precipitation - Apr (millimeters)
Precipitation - May (millimeters)
Precipitation - Jun (millimeters)
Precipitation - Jul (millimeters)
Precipitation - Aug (millimeters)
Precipitation - Sep (millimeters)
Precipitation - Oct (millimeters)
Precipitation - Nov (millimeters)
Precipitation - Dec (millimeters)
Decadal average of monthly precipitation - Jan (millimeters)
Decadal average of monthly precipitation - Feb (millimeters)
Decadal average of monthly precipitation - Mar (millimeters)
Decadal average of monthly precipitation - Apr (millimeters)
Decadal average of monthly precipitation - May (millimeters)
Decadal average of monthly precipitation - Jun (millimeters)
Decadal average of monthly precipitation - Jul (millimeters)
Decadal average of monthly precipitation - Aug (millimeters)
Decadal average of monthly precipitation - Sep (millimeters)
Decadal average of monthly precipitation - Oct (millimeters)
Decadal average of monthly precipitation - Nov (millimeters)
Decadal average of monthly precipitation - Dec (millimeters)
Decadal variation of monthly precipitation - Jan (millimeters)
Decadal variation of monthly precipitation - Feb (millimeters)
Decadal variation of monthly precipitation - Mar (millimeters)
Decadal variation of monthly precipitation - Apr (millimeters)
Decadal variation of monthly precipitation - May (millimeters)
Decadal variation of monthly precipitation - Jun (millimeters)
Decadal variation of monthly precipitation - Jul (millimeters)
Decadal variation of monthly precipitation - Aug (millimeters)
Decadal variation of monthly precipitation - Sep (millimeters)
Decadal variation of monthly precipitation - Oct (millimeters)
Decadal variation of monthly precipitation - Nov (millimeters)
Decadal variation of monthly precipitation - Dec (millimeters)
Precipitation anomaly - Jan (millimeters)
Precipitation anomaly - Feb (millimeters)
Precipitation anomaly - Mar (millimeters)
Precipitation anomaly - Apr (millimeters)
Precipitation anomaly - May (millimeters)
Precipitation anomaly - Jun (millimeters)
Precipitation anomaly - Jul (millimeters)
Precipitation anomaly - Aug (millimeters)
Precipitation anomaly - Sep (millimeters)
Precipitation anomaly - Oct (millimeters)
Precipitation anomaly - Nov (millimeters)
Precipitation anomaly - Dec (millimeters)
Cropland (percent of area)
Forest (percent of area)
Mineral facilities - Total  (number of facilities)
Mineral facilities - Public  (number of facilities)
Mineral facilities - Private  (number of facilities)
Mineral facilities - Foreign  (number of facilities)
Mineral production capacity  (million metric tons per year )
Protected land - Total (percent of area)
Protected land - National (percent of area)
Protected land - International (percent of area)
Aerosol particle radius (percent of small particles)
Aerosol optical thickness (thickness scale  0-1 )
Carbon monoxide levels (parts per billion by volume)
Nitrogen dioxide levels (billion molecules/mm2)
Elevation (meters)
Surface roughness (meters)
Land area equipped for irrigation - Total (percent of land area)
Land area actually irrigated (percent of land area)
Land area equipped for irrigation  - Ground water (percent of land area)
Land area equipped for irrigation  - Surface water (percent of land area)
Land area with limited or no constraints (percent of land area)
Primary health care centers, total (per 10,000 people)
Secondary health care centers, total (per 10,000 people)
Institutional births (percent of population group)
Infant mortality rate, total (deaths per 1,000 live births)
Under-five mortality rate, total (deaths per 1,000 live births)
Child acute respiratory infection (percent of children, 0-4 years)
Child diarrhea (percent of children, 0-4 years)
Child fever (percent of children, 0-4 years)
Stunting (percent of children, 0-4 years)
Wasting (percent of children, 0-4 years)
Underweight (percent of children, 0-4 years)
Three ante-natal care visits (percent of population group)
Female use of condom (percent of population group)
Female contraceptive prevalence (percent of population group)
Households' access to cellphone,total(percent of households)
Households' access to compute with Internet,total(percent of households)
Households' access to computer,total(percent of households)
Road length,Total(km.)
Road length,Major highways, primary and secondary(km.)
Road length,Tertiary and rural(km.)
Road length,Other(km.)
Road intensity,Total(km. per 1000 sq. km.)
Road intensity,Major highways, primary and secondary(km. per 1000 sq. km.)
Road intensity,Tertiary and rural(km. per 1000 sq. km.)
Road intensity,Other(km. per 1000 sq. km.)
Number of stations,Total(stations)
Number of stations,Railway(stations)
Number of stations,Total(stations per 1000 sq. km.)
Number of stations,Railway(stations per 1000 sq. km.)
Households' access to electricity, total(percent of households)
Households's use of fuel for lighting,kerosene(percent of households)
Households's use of fuel for lighting,Biogas(percent of households)
Households's use of fuel for lighting,Electricity(percent of households)
Households's use of fuel for lighting,Others(percent of households)
Households's use of fuel for lighting,No lightning arrangement(percent of househ
Households' use of fuel for cooking,biomass(percent of households)
Households' use of fuel for Coal/lignite/charcoal ,(percent of households)
Households' use of fuel for cooking,kerosene(percent of households)
Households' use of fuel for Gas/LPG,(percent of households)
Households' use of fuel for cooking,electricity (percent of households)
Households' use of fuel for Bio-gas,(percent of households)
Housing units built with substantial solid material, total(percent of households
Households use biomass to cook indoors(percent of households)
Households' access to improved water,total(percent of households)
Households' access to improved sanitation,total(percent of households)
Households' access to enhanced improved sanitation,total(percent of households)
Employment by sector,Agriculture(percent of total employment)
Employment by sector,Manufacturing(percent of total employment)
Employment by sector,Industry (incl. manufacturing)(percent of total employment)
Employment by sector,Services(percent of total employment)
Farmers, Female(percent of total employment)
Farmers, Male(percent of total employment)
Farmers, Total(percent of total employment)
Self-employed, Female(percent of total employment)
Self-employed, Male(percent of total employment)
Self-employed, Total(percent of total employment)
Casual wage earners, Female(percent of total employment)
Casual wage earners, Male(percent of total employment)
Casual wage earners, Total(percent of total employment)
Regular wage earners, Female(percent of total employment)
Regular wage earners, Male(percent of total employment)
Regular wage earners, Total(percent of total employment)
Working-age population, 15+ years, Total(percent)
Working-age population, 15+ years, Female(percent)
Working-age population, 15+ years, Male(percent)
Labor force participation, 15+ years, weekly, Total(percent of age group)
Labor force participation, 15+ years, weekly, Female(percent of age group)
Labor force participation, 15+ years, weekly, Male(percent of age group)
Employment rate, 15+ years, yearly, Total(percent of age group)
Employment rate, 15+ years, yearly, Female(percent of age group)
Employment rate, 15+ years, yearly, Male(percent of age group)
Unemployment rate, 15+ years, weekly, Total(percent of labor force)
Unemployment rate, 15+ years, weekly, Female(percent of labor force)
Unemployment rate, 15+ years, weekly, Male(percent of labor force)
Unemployment rate, 15-24 years, weekly, Total(percent of labor force)
Unemployment rate, 15-24 years, weekly, Female(percent of labor force)
Unemployment rate, 15-24 years, weekly, Male(percent of labor force)
Household per capita expenditure(current USD per capita per month)
Poverty rate at national poverty line(percent of population)
Share of bottom 40 percent(percent of population)
90 to 10 ratio of per capita expenditure(ratio)
Gini coefficient of per capita expenditure(percent)
MLD of per capita expenditure(index)
People per household,total(people)
People per room,total(people)
Overcrowding,total(percent of housing units)
Access to all key durable assets,total(percent of households)
ack of access to durable assets,total(percent of households)
Housing ownership(percent of households)
Land ownership(percent of households)
Gini coefficient of landholding(percent)
MLD of landholding(index)
Area (sq. km.)
Population (thousands)
Population density (people per sq. km.)
Area (sq. km.)
Population (thousands)
Population density (people per sq. km.)
Area (sq. km.)
Population (thousands)
Population density (people per sq. km.)

Bhutan Spatial Database Level 1 - 2011

Metadata

Bhutan

Derived from publicly available sources, this dataset contains data on a variety of indicators from the years 2001 and 2011 for Bhutan at two levels of administrative geography.