AndreaBozzo/ceres-open-data-index huggingface dataset:
Small Business Surveys - Aggregated Data

More than 200 million businesses use Facebook globally. The goal of our Small Business Surveys has been to learn about the unique perspectives, challenges and opportunities of small and medium-sized businesses (SMBs). Through 2022, the Future of Business Survey and the Global State of Small Business (GSoSB) Survey were conducted in partnership with the World Bank and Organisation for Economic Cooperation and Development.


Aggregated country level data for each survey wave is available to the public on HDX and controlled access microdata is available to Data for Good at Meta partners. Please visit https://ai.meta.com/ai-for-good/datasets/small-business-surveys/ to apply for access to microdata or contact aiforgood@meta.com for any questions.

This dataset regularly updated until 2023-03-24 and is no longer expecting additional data.


Tags: covid-19, economics, gender, trade, water sanitation and hygiene-wash
Organization: AI for Good at Meta
Relative Wealth Index

The Relative Wealth Index predicts the relative standard of living within countries using de-identified connectivity data, satellite imagery and other nontraditional data sources. The data is provided for 93 low and middle-income countries at 2.4km resolution.  Please cite / attribute any use of this dataset using the following: 
Microestimates of wealth for all low- and middle-income countries
Guanghua Chi, Han Fang, Sourav Chatterjee, Joshua E. Blumenstock
Proceedings of the National Academy of Sciences Jan 2022, 119 (3) e2113658119; DOI: 10.1073/pnas.2113658119

More details are available here: hhttps://ai.meta.com/ai-for-good/datasets/relative-wealth-index/

Research publication for the Relative Wealth Index is available here: https://www.pnas.org/content/119/3/e2113658119

Press coverage of the release of the Relative Wealth Index here: https://www.fastcompany.com/90625436/these-new-poverty-maps-could-reshape-how-we-deliver-humanitarian-aid

An interactive map of the Relative Wealth Index is available here: http://beta.povertymaps.net/

Tags: economics, poverty, socioeconomics
Organization: AI for Good at Meta
Afghanistan - Aid Effectiveness

Contains data from the World Bank's [data portal](http://data.worldbank.org/). There is also a [consolidated country dataset](https://data.humdata.org/dataset/world-bank-combined-indicators-for-afghanistan) on HDX.

Aid effectiveness is the impact that aid has in reducing poverty and inequality, increasing growth, building capacity, and accelerating achievement of the Millennium Development Goals set by the international community. Indicators here cover aid received as well as progress in reducing poverty and improving education, health, and other measures of human welfare.

Tags: aid effectiveness, indicators
Organization: World Bank Group
United Republic of Tanzania (the) - Food Prices

Food Prices for United Republic of Tanzania (the).

Contains data from the FAOSTAT [bulk data service](http://fenixservices.fao.org/faostat/static/bulkdownloads/datasets_E.json) covering the following categories: Consumer Price Indices, Deflators, Exchange rates, Producer Prices

Tags: food security, hxl, indicators
Organization: Food and Agriculture Organization (FAO) of the United Nations
United Republic of Tanzania (the) - Food Security and Nutrition Indicators

Food Security and Nutrition Indicators for United Republic of Tanzania (the).

Contains data from the FAOSTAT [bulk data service](http://fenixservices.fao.org/faostat/static/bulkdownloads/datasets_E.json).

Tags: food security, hxl, indicators, nutrition
Organization: Food and Agriculture Organization (FAO) of the United Nations
International Migration Flows

We estimate country-to-country migration flows at monthly granularity for 181 countries using privacy protected records from three billion Facebook users. This dataset contains the monthly estimates for each country pair from 2019 to 2022.

For more information on the methodology and validations performed, please read the pre-print publication here: https://www.pnas.org/doi/10.1073/pnas.2409418122


Tags: migration
Organization: AI for Good at Meta
Social Connections Survey

Gallup, Meta and a group of academic advisors collaborated to design and conduct the Social Connections Survey, which offers a first look at how social connections vary across diverse geographic regions. The survey was administered through face-to-face or phone interviews with people aged 15 and older in seven countries. The data provides an in-depth look at the extent to which people feel connected, socially supported and lonely in different parts of the world. The data also sheds new light on the characteristics of people’s social connections, the ways people interact with others, the groups with whom they have frequent contact, and how they connect with others to get support when they need it.

Please see the [State of Social Connections Study](https://dataforgood.facebook.com/dfg/docs/2022-state-of-social-connections-study) on the Data for Good website for more information and a report with key findings. Aggregate country-level data for each item in the survey is publicly available below. Controlled access microdata is available for request through the [AI for Good Program at Meta](https://ai.meta.com/ai-for-good/datasets/social-connections-survey/).

Tags: demographics, health
Organization: AI for Good at Meta
Social Capital Atlas

These datasets provide measures of Social Capital for counties, ZIP codes, high schools, and colleges in the United States based on data from Facebook. The Social Capital Atlas dataset is the result of a collaboration between Meta, Opportunity Insights, and researchers from Harvard, New York University, and Stanford. We use methods from the differential privacy literature to add noise to these aggregate statistics to protect privacy while maintaining a high level of statistical reliability. See the accompanying README.pdf and papers published in Nature for more details on data construction, methods, and results.

We construct three measures of social capital: 

1. Connectedness - The extent to which people with different characteristics are friends with each other. This includes our main economic connectedness measure.

2. Cohesiveness - The degree to which friendship networks are clustered into cliques and whether friendships tend to be supported by mutual friends. This includes our clustering and support ratio measures.

3. Civic Engagement - Indices of trust or participation in civic organizations. This includes our volunteering rate measure.

A visualization of this data is available here: [www.socialcapital.org](http://www.socialcapital.org) 

Research publications for the Social Capital Atlas dataset are available here:   

- [Social Capital I: Measurement and Associations with Economic Mobility](https://doi.org/10.1038/s41586-022-04996-4)  

- [Social Capital II: Determinants of Economic Connectedness](https://doi.org/10.1038/s41586-022-04997-3)	 		
			
Any researcher using the data should reference/cite the following papers:	
*Chetty, Raj, Matthew O. Jackson, Theresa Kuchler, Johannes Stroebel, Nathaniel Hendren, Robert Fluegge, Sara Gong, Federico Gonzalez, Armelle Grondin, Matthew Jacob, Drew Johnston, Martin Koenen, Eduardo Laguna-Muggenberg, Florian Mudekereza, Tom Rutter, Nicolaj Thor, Wilbur Townsend, Ruby Zhang, Mike Bailey, Pablo Barber ́a, Monica Bhole, and Nils Wernerfelt (2022a). “Social Capital I: Measurement and Associations with Economic Mobility.” Nature 608 (7921): 108-121, 2022.* 

Download Citation here: https://citation-needed.springer.com/v2/references/10.1038/s41586-022-04996-4?format=refman&flavour=citation  
  
  				
*Chetty, Raj, Matthew O. Jackson, Theresa Kuchler, Johannes Stroebel, Nathaniel Hendren, Robert Fluegge, Sara Gong, Federico Gonzalez, Armelle Grondin, Matthew Jacob, Drew Johnston, Martin Koenen, Eduardo Laguna-Muggenberg, Florian Mudekereza, Tom Rutter, Nicolaj Thor, Wilbur Townsend, Ruby Zhang, Mike Bailey, Pablo Barber ́a, Monica Bhole, and Nils Wernerfelt (2022b). “Social Capital II: Determinants of Economic Connectedness.” Nature 608 (7921): 122-134, 2022.*

Download Citation here: https://citation-needed.springer.com/v2/references/10.1038/s41586-022-04997-3?format=refman&flavour=citation

Tags: education, social media data, socioeconomics
Organization: AI for Good at Meta
Long Ties

The data measures the frequency of long ties in different geographic locations of the US and Mexico. Long ties, the edges in the connectivity network without any mutual contact, have been shown to play an important role in access to economic opportunities. Clustering coefficient is yet another related measure that captures the level of structural diversity in a network. Both these measures are provided at two different levels: zip codes and counties (or municipalities in Mexico). The data is described in more detail in the accompanying paper “Long ties, disruptive life events and economic prosperity.”


Tags: economics, socioeconomics
Organization: AI for Good at Meta
Cross Gender Ties

A global dataset of cross-gender friendship links at the subnational level spanning nearly 200 countries and territories, constructed from more than a trillion friendship ties among Facebook users.

Citation for data: 

- Bailey, M., Johnston, D., Kuchler, T., Kumar, A., & Stroebel, J. (2025). “Cross-Gender Social Ties Around the World.” AEA Papers and Proceedings (Vol. 115, pp. 132-138). [(Paper available here)](https://pages.stern.nyu.edu/~jstroebe/PDF/BJKKS_GenderTies.pdf)

Tags: economics, gender, men, social media data, socioeconomics, women
Organization: AI for Good at Meta
UK Social Capital Atlas

These datasets provide measures of Social Capital for MSOAs, postal code districts, and local authorities in the United Kingdom based on data from Facebook. The UK social capital dataset is the result of a collaboration between Meta, Behavioural Insights Team, the Royal Society of Arts, Stripe Partners, Neighbourly Lab and researchers from Opportunity Insights, New York University, and Stanford University. We use methods from the differential privacy literature to add noise to these aggregate statistics to protect privacy while maintaining a high level of statistical reliability.

See the accompanying README.pdf for more information on the dataset. We also attach a summary of research findings which highlights the main results of the research. 

The methods used to create the dataset as well as the main findings of research into social capital in the UK can be found in the pre-print article. We will soon post the link to the pre-print article for researchers to cite when using this dataset. Until then, a copy of the article is available in the materials below. 

https://ai.meta.com/ai-for-good/datasets/uk-social-capital-atlas/

Tags: education, social media data, socioeconomics
Organization: AI for Good at Meta
Climate Change Opinion Survey

In partnership with Yale, Meta launched a climate change opinion survey that explores public climate change knowledge, attitudes, policy preferences, and behaviors. 2023 aggregated survey responses now available.

 The 2022 survey includes respondents from nearly 200 countries and territories. We are sharing country level data from this survey, providing policymakers, research institutions, and nonprofits with an international view of public climate change opinion.

For more information please see  https://ai.meta.com/ai-for-good/datasets/climate-change-opinion-survey/

If you're interested in becoming a research partner and accessing record level data, please email aiforgood@meta.com.

Tags: climate-weather, environment
Organization: AI for Good at Meta
Afghanistan - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Albania - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Algeria - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Angola - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Armenia - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Argentina - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Australia - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Austria - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Azerbaijan - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Bahamas - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Bahrain - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Bangladesh - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Barbados - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Belarus - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Belgium - Corruption Perceptions Index

This dataset contains Corruption Perceptions Index (CPI) scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives.

For more information, visit the [Corruption Perceptions Index](https://www.transparency.org/en/cpi) on the Transparency International website.


Tags: development, governance and civil society, indicators, poverty, socioeconomics
Organization: Transparency International
Bahrain - Social Development

Contains data from the World Bank's [data portal](http://data.worldbank.org/). There is also a [consolidated country dataset](https://data.humdata.org/dataset/world-bank-combined-indicators-for-bahrain) on HDX.

Data here cover child labor, gender issues, refugees, and asylum seekers. Children in many countries work long hours, often combining studying with work for pay. The data on their paid work are from household surveys conducted by the International Labour Organization (ILO), the United Nations Children's Fund (UNICEF), the World Bank, and national statistical offices. Gender disparities are measured using a compilation of data on key topics such as education, health, labor force participation, and political participation.  Data on refugees are from the United Nations High Commissioner for Refugees complemented by statistics on Palestinian refugees under the mandate of the United Nations Relief and Works Agency.

Tags: development, indicators
Organization: World Bank Group
Bahrain - Science and Technology

Contains data from the World Bank's [data portal](http://data.worldbank.org/). There is also a [consolidated country dataset](https://data.humdata.org/dataset/world-bank-combined-indicators-for-bahrain) on HDX.

Technological innovation, often fueled by governments, drives industrial growth and helps raise living standards. Data here aims to shed light on countries technology base: research and development, scientific and technical journal articles, high-technology exports, royalty and license fees, and patents and trademarks. Sources include the UNESCO Institute for Statistics, the U.S. National Science Board, the UN Statistics Division, the International Monetary Fund, and the World Intellectual Property Organization.

Tags: economics, indicators
Organization: World Bank Group
Bahrain - Public Sector

Contains data from the World Bank's [data portal](http://data.worldbank.org/). There is also a [consolidated country dataset](https://data.humdata.org/dataset/world-bank-combined-indicators-for-bahrain) on HDX.

Effective governments improve people's standard of living by ensuring access to essential services –  health, education, water and sanitation, electricity, transport – and the opportunity to live and work in peace and security. Data here includes World Bank staff assessments of country performance in economic management, structural policies, policies for social inclusion and equity, and public sector management and institutions for the poorest countries. Also included are indicators on revenues and expenses from the International Monetary Fund's Government Finance Statistics, and on tax policies from various sources.

Tags: economics, indicators
Organization: World Bank Group